Top Talent like Solon are on Pangea

Pangea, a YC company, connects companies with fractional talent. Fractional hiring allows companies to move faster and work with more specialized talent, while giving talent more flexibility and independence. If you are talent open to fractional work, apply here. If you’re a company looking for high-quality fractional talent, learn more here.

Solon Das

Data Engineer
Bengaluru, KA, IN
Software Development
MySQL
Apache Cassandra
Apache Spark
NoSQL
Apache Kafka
Database Management
Programming
PostgreSQL
MongoDB
Database Queries
Databases
SQL
ETL
Python
Data Modeling
Available for hire fromNegotiable
Contracts
AVP - Data Engineering @SwissRe | Palantir Foundry | Databricks | Azure | Blogger | Mentor
Hello! I’m a data engineering professional with 6+ years of experience in building scalable, high-performance data solutions that drive business impact. I specialize in architecting robust data pipelines, optimizing infrastructure for AI-driven analytics, and enhancing data quality frameworks. Key Contributions: Spearheaded data strategy and quality frameworks for AI-driven architectures, enabling cross-functional use cases. Designed and built scalable data pipelines for large-scale regulatory reporting, integrating insights into interactive dashboards for seamless decision-making. Developed an in-house credit-scoring model, reducing loan approval time by 90%, leveraging demographic factors & alternative credit data. Conducted NLP & ML research on fraudulent job postings, reflecting my passion for AI-driven problem-solving. Core Expertise: Data Engineering & Cloud Solutions: Azure (MS SQL Server, CosmosDB, DataBricks, Logic Apps, Automation) Big Data & Performance Optimization: PySpark, SQL, Azure Data Strategy & Governance for AI & Analytics Indexing, Query Optimization & Cost Efficiency Real-time & Batch Data Processing My academic background reflects my deep interest in data science and AI. I graduated with distinction from Liverpool John Moores University, where I worked on research focused on detecting fraudulent job postings using NLP and ML methodologies. I further strengthened my expertise by completing a post-graduate degree in Data Science from IIIT-Bengaluru with a GPA of 3.62. I believe in continuous learning, creative problem-solving, and impactful storytelling through data. Whether it’s optimizing cloud infrastructure, building AI-ready data pipelines, or driving cost-efficient solutions, I’m always excited about leveraging data for business transformation. Beyond Data: A music and photography enthusiast, I find inspiration in creativity and exploration. Let’s connect and discuss how data can shape the future!

Projects

Generative AI Applications - Data Strategy for ABInBev

1. Spearheaded the development of robust data pipelines aimed at facilitating the seamless delivery of trusted data for our revolutionary new product launch, Insights Copilot, which solves generative AI use-cases focused on our organization's day-to-day operation. This cutting-edge platform empowers our business users to effortlessly pose cross-functional inquiries, uncover trends, and access insightful facts about our organization's operations. 2. Established a Data Quality framework for FMCG data across various functional areas, resulting in proactive resolution of data issues and enabling the ingestion of clean data for Gen AI applications. 3. Oversaw the Data strategy and solution design of GEN AI NL/Text to SQL across various cross-functional use cases including Watchtower, Marketing, Finance, Human Resource, Social Media, Logistics, Strategy & Insights, and Procurement for Global Headquarters, as well as other zones such as APAC, NAZ, SAZ, MAZ, etc.See More

Work History

S

AVP - Data Engineering : Palantir Foundry

Swiss ReFull-time Employee
M

Tech Blogger - TheDatumTheory

MediumFreelancerPassionate about demystifying data engineering, cloud technologies, and database optimization through engaging, in-depth articles on Medium. I write about real-world challenges in Apache Spark, SQL performance tuning, and Azure services, breaking down complex concepts into actionable insights. Committed to empowering the data community with practical knowledge and best practices.
A

Senior Data Engineer - Generative AI

AB InBevFull-time EmployeeSep 2022 - Mar 2025 • 2 yrs 7 mos1. Spear-headed the development of robust data pipelines aimed at facilitating the seamless delivery of trusted data for our revolutionary new product launch, Insights Copilot which solves generative AI use-cases focused for our organization's day-to-day operation. This cutting-edge platform empowers our business users to effortlessly pose cross-functional inquiries, uncover trends, and access insightful facts pertaining to our organization's operations. 2. Established a Data Quality framework for FMCG data across various functional areas, resulting in proactive resolution of data issues and enabling the ingestion of clean data for Gen AI applications. 3. Oversaw the Data strategy and solution design of Gen AI NL/Text to SQL across various cross-functional use cases including Watchtower, Marketing, Finance, Human Resource, Social Media, Logistics, Strategy & Insights, and Procurement for Global Headquarters, as well as other zones such as APAC, NAZ, SAZ, MAZ, etc. 4. Led the development of Data Models and extensive metadata for LLM context to run GEN-AI models across 5 multi-domain use cases. 5. Engineered Data Delivery Pipelines on Azure DataBricks from scratch to deliver trusted data for DTC business in South American Markets, tailored to the specific needs of the DTC-MROI business segment with a focus on key markets like Brazil, Mexico, Colombia, and Argentina, resulting in a projected gain of 5% incremental sales and $1.7M net revenue at $50M Budget.
E

Big Data Engineer - Senior Consultant

Ernst & YoungFull-time EmployeeMay 2021 - Sep 2022 • 1 yr 5 mos• Built an end-to-end Event-Driven Data Ingestion Pipeline on Azure DataBricks using Apache Spark for Azure Cosmos DB and Kafka topics. • Engineered a Data Tracing Feature to track Data Loads and statuses, ingesting data into SQL server and Azure Event Hub. • Developed real-time streaming feature for Kafka topics, enabling quick identification and re-running of lost messages.
A

Data Engineer

AccentureFull-time EmployeeJul 2018 - Nov 2020 • 2 yrs 5 mos• Developed an Object Management Tool for Environment Deployment, optimizing deployment processes and enhancing efficiency. • Created an Automatic JIL File Generator Utility using Python, reducing manual effort by 98% in job scheduling. • Led a Pyspark Data Transformation Project for client-specific data transformations in the non-prescription drug category. • Developed an Object Management Tool for Environment Deployment, optimizing deployment processes and enhancing efficiency. • Created an Automatic JIL File Generator Utility using Python, reducing manual effort by 98% in job scheduling. • Led a Pyspark Data Transformation Project for client-specific data transformations in the non-prescription drug category. Skills: Python · SQL · Data Classification · PySpark · Databases · Amazon Redshift

Education

I

International Institute of Information Technology Bangalore

Post Graduate Diploma, Data Science2019 - 2020
L

Liverpool John Moores University

Master of Science - MS, Data Science2020 - 2021
V

Veer Surendra Sai University Of Technology (Formerly UCE), Burla

Bachelor of Technology - BTech, Information Technology2014 - 2018

How Pangea Works

Effortlessly discover top talent

We've distilled the candidate search from endless hours down to just a few minutes. Using Pangea's AI-powered search tools, you can find top fractional talent able to take on your next project. Our system looks at your company's niche and your needs to find the perfect match faster than any traditional hiring platform.

Start working with talent today

The top talent on Pangea is ready to get started with you right now. You can message or hire a candidate right from their profile page and start assigning work as soon as they respond. And the best part? Pangea's fractional contract structure lets you start small and ramp up as your needs change, keeping your costs manageable and your team's capabliities flexible.

Track work and invoices in one place

Assign tasks, track progress, and complete invoices all on Pangea. We've combined every part of the hiring process into one platform to eliminate the miscommunication that's unavoidable on other freelance platforms. We even send out 1099s to your contractors at the end of the year!

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call
AVP - Data Engineering @SwissRe | Palantir Foundry | Databricks | Azure | Blogger | Mentor
Hello! I’m a data engineering professional with 6+ years of experience in building scalable, high-performance data solutions that drive business impact. I specialize in architecting robust data pipelines, optimizing infrastructure for AI-driven analytics, and enhancing data quality frameworks. Key Contributions: Spearheaded data strategy and quality frameworks for AI-driven architectures, enabling cross-functional use cases. Designed and built scalable data pipelines for large-scale regulatory reporting, integrating insights into interactive dashboards for seamless decision-making. Developed an in-house credit-scoring model, reducing loan approval time by 90%, leveraging demographic factors & alternative credit data. Conducted NLP & ML research on fraudulent job postings, reflecting my passion for AI-driven problem-solving. Core Expertise: Data Engineering & Cloud Solutions: Azure (MS SQL Server, CosmosDB, DataBricks, Logic Apps, Automation) Big Data & Performance Optimization: PySpark, SQL, Azure Data Strategy & Governance for AI & Analytics Indexing, Query Optimization & Cost Efficiency Real-time & Batch Data Processing My academic background reflects my deep interest in data science and AI. I graduated with distinction from Liverpool John Moores University, where I worked on research focused on detecting fraudulent job postings using NLP and ML methodologies. I further strengthened my expertise by completing a post-graduate degree in Data Science from IIIT-Bengaluru with a GPA of 3.62. I believe in continuous learning, creative problem-solving, and impactful storytelling through data. Whether it’s optimizing cloud infrastructure, building AI-ready data pipelines, or driving cost-efficient solutions, I’m always excited about leveraging data for business transformation. Beyond Data: A music and photography enthusiast, I find inspiration in creativity and exploration. Let’s connect and discuss how data can shape the future!

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call

Top Talent like Solon are on Pangea

Pangea, a YC company, connects companies with fractional talent. Fractional hiring allows companies to move faster and work with more specialized talent, while giving talent more flexibility and independence. If you are talent open to fractional work, apply here. If you’re a company looking for high-quality fractional talent, learn more here.

Solon Das

Data Engineer
Bengaluru, KA, IN
Software Development
MySQL
Apache Cassandra
Apache Spark
NoSQL
Apache Kafka
Database Management
Programming
PostgreSQL
MongoDB
Database Queries
Databases
SQL
ETL
Python
Data Modeling
Available for hire fromNegotiable
Contracts

Projects

Generative AI Applications - Data Strategy for ABInBev

1. Spearheaded the development of robust data pipelines aimed at facilitating the seamless delivery of trusted data for our revolutionary new product launch, Insights Copilot, which solves generative AI use-cases focused on our organization's day-to-day operation. This cutting-edge platform empowers our business users to effortlessly pose cross-functional inquiries, uncover trends, and access insightful facts about our organization's operations. 2. Established a Data Quality framework for FMCG data across various functional areas, resulting in proactive resolution of data issues and enabling the ingestion of clean data for Gen AI applications. 3. Oversaw the Data strategy and solution design of GEN AI NL/Text to SQL across various cross-functional use cases including Watchtower, Marketing, Finance, Human Resource, Social Media, Logistics, Strategy & Insights, and Procurement for Global Headquarters, as well as other zones such as APAC, NAZ, SAZ, MAZ, etc.

Work History

S

AVP - Data Engineering : Palantir Foundry

Swiss ReFull-time Employee
M

Tech Blogger - TheDatumTheory

MediumFreelancerPassionate about demystifying data engineering, cloud technologies, and database optimization through engaging, in-depth articles on Medium. I write about real-world challenges in Apache Spark, SQL performance tuning, and Azure services, breaking down complex concepts into actionable insights. Committed to empowering the data community with practical knowledge and best practices.
A

Senior Data Engineer - Generative AI

AB InBevFull-time EmployeeSep 2022 - Mar 2025 • 2 yrs 7 mos1. Spear-headed the development of robust data pipelines aimed at facilitating the seamless delivery of trusted data for our revolutionary new product launch, Insights Copilot which solves generative AI use-cases focused for our organization's day-to-day operation. This cutting-edge platform empowers our business users to effortlessly pose cross-functional inquiries, uncover trends, and access insightful facts pertaining to our organization's operations. 2. Established a Data Quality framework for FMCG data across various functional areas, resulting in proactive resolution of data issues and enabling the ingestion of clean data for Gen AI applications. 3. Oversaw the Data strategy and solution design of Gen AI NL/Text to SQL across various cross-functional use cases including Watchtower, Marketing, Finance, Human Resource, Social Media, Logistics, Strategy & Insights, and Procurement for Global Headquarters, as well as other zones such as APAC, NAZ, SAZ, MAZ, etc. 4. Led the development of Data Models and extensive metadata for LLM context to run GEN-AI models across 5 multi-domain use cases. 5. Engineered Data Delivery Pipelines on Azure DataBricks from scratch to deliver trusted data for DTC business in South American Markets, tailored to the specific needs of the DTC-MROI business segment with a focus on key markets like Brazil, Mexico, Colombia, and Argentina, resulting in a projected gain of 5% incremental sales and $1.7M net revenue at $50M Budget.
E

Big Data Engineer - Senior Consultant

Ernst & YoungFull-time EmployeeMay 2021 - Sep 2022 • 1 yr 5 mos• Built an end-to-end Event-Driven Data Ingestion Pipeline on Azure DataBricks using Apache Spark for Azure Cosmos DB and Kafka topics. • Engineered a Data Tracing Feature to track Data Loads and statuses, ingesting data into SQL server and Azure Event Hub. • Developed real-time streaming feature for Kafka topics, enabling quick identification and re-running of lost messages.
A

Data Engineer

AccentureFull-time EmployeeJul 2018 - Nov 2020 • 2 yrs 5 mos• Developed an Object Management Tool for Environment Deployment, optimizing deployment processes and enhancing efficiency. • Created an Automatic JIL File Generator Utility using Python, reducing manual effort by 98% in job scheduling. • Led a Pyspark Data Transformation Project for client-specific data transformations in the non-prescription drug category. • Developed an Object Management Tool for Environment Deployment, optimizing deployment processes and enhancing efficiency. • Created an Automatic JIL File Generator Utility using Python, reducing manual effort by 98% in job scheduling. • Led a Pyspark Data Transformation Project for client-specific data transformations in the non-prescription drug category. Skills: Python · SQL · Data Classification · PySpark · Databases · Amazon Redshift

Education

I

International Institute of Information Technology Bangalore

Post Graduate Diploma, Data Science2019 - 2020
L

Liverpool John Moores University

Master of Science - MS, Data Science2020 - 2021
V

Veer Surendra Sai University Of Technology (Formerly UCE), Burla

Bachelor of Technology - BTech, Information Technology2014 - 2018

How Pangea Works

Effortlessly discover top talent

We've distilled the candidate search from endless hours down to just a few minutes. Using Pangea's AI-powered search tools, you can find top fractional talent able to take on your next project. Our system looks at your company's niche and your needs to find the perfect match faster than any traditional hiring platform.

Start working with talent today

The top talent on Pangea is ready to get started with you right now. You can message or hire a candidate right from their profile page and start assigning work as soon as they respond. And the best part? Pangea's fractional contract structure lets you start small and ramp up as your needs change, keeping your costs manageable and your team's capabliities flexible.

Track work and invoices in one place

Assign tasks, track progress, and complete invoices all on Pangea. We've combined every part of the hiring process into one platform to eliminate the miscommunication that's unavoidable on other freelance platforms. We even send out 1099s to your contractors at the end of the year!

Talk with a Talent Expert

Members of our team are available to help you speed through the hiring process.
Available Now
Book a Call
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