Top Talent like Meghana 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.

Meghana Gogineni

Data Engineer
Boston, MA, US
Kubernetes
Tableau
Amazon Redshift
Jenkins
Apache Kafka
Docker
SQL
JIRA
MySQL
PostgreSQL
Github
Data Migration
Python
AWS Step Functions
AWS Glue
Documentation
Power BI
Stitch
Jira
Oracle
AWS Lambda
Data Modeling
Available for hire fromNegotiable
Senior Data Engineer | Analytics Engineering & ELT Pipelines (dbt, Snowflake, AWS)
Senior Data Engineer with 4+ years of experience in analytics engineering, backend data infrastructure, and robust ELT pipeline development. Owns and optimizes dbt production model libraries with testing, documentation, lineage, and metric governance, with strong SQL and Snowflake expertise. Has built finance/operations data spines and established data quality standards and standards-based analytics engineering for executive, board, and investor reporting. Background includes scaling PySpark ETL, Kafka streaming ingestion, and orchestration automation using Airflow, Jenkins, and CI/CD in enterprise environments.

Work History

A

Senior Data Engineer

Athenahealth Owned and optimized the dbt model library, ensuring models are clean, thoroughly tested, well-documented, and aligned with business requirements, including new data sources like Heap and GA4.  Managed and enhanced the ELT stack, encompassing Stitch, Snowflake, dbt, and associated orchestration tools, with a strong focus on reliability, performance, and clear data lineage.  Developed and maintained a robust finance and operations data spine on Snowflake, serving as the authoritative source of truth for core executive KPIs and metric definitions.  Defined and implemented analytics engineering standards, made key tooling decisions, and shaped the long-term roadmap for the data platform, prioritizing thoughtful architecture and data quality.  Collaborated cross-functionally with Engineering, FP&A, and Accounting teams to translate technical infrastructure into precise business needs and vice versa.  Established and enforced data quality standards, developed comprehensive testing frameworks, and implemented metric governance practices across the data ecosystem.  Provided critical data insights and reporting directly supporting executive, board, and investor decision-making, ensuring data integrity for high-stakes activities.  Led sprint planning and prioritization for the BI request queue in close collaboration with the BI team and various cross-functional stakeholders.  Automated over 150 Airflow workflows for pipeline orchestration and dependency management while integrating CI/CD pipelines with Jenkins and GitHub for streamlined deployments.
M

Data Engineer

Morgan StanleyJun 2022 - Dec 2023 • 1 yr 7 mos Designed and implemented scalable data engineering solutions using dbt and Snowflake, supporting financial risk management and regulatory reporting platforms.  Developed PySpark-based ETL pipelines, processing over 3TB of financial transaction data daily, with a focus on reliability and performance within a Snowflake environment.  Built ingestion frameworks to load critical financial data from Oracle and SQL Server into Snowflake, ensuring seamless integration and data availability.  Designed and optimized Snowflake ELT pipelines, significantly improving warehouse performance and query execution efficiency by 35% for analytical use cases.  Implemented Kafka-based streaming solutions to ingest over 10 million financial events daily, ensuring near real-time data for critical business operations.  Developed advanced SQL transformations and aggregation frameworks within Snowflake, supporting complex enterprise reporting and analytical requirements.  Implemented rigorous data quality validation and reconciliation processes, reducing reporting discrepancies by 30% through comprehensive testing frameworks.  Automated workflow scheduling through Apache Airflow, integrating deployments using Jenkins and GitHub to enhance operational efficiency and data pipeline reliability.  Collaborated extensively with business stakeholders in Agile Scrum environments, using Jira throughout all phases of the SDLC to deliver impactful data solutions.
W

Junior Data Engineer

WalmartFeb 2021 - May 2022 • 1 yr 4 mos Assisted in the development of robust ETL pipelines using Python and SQL for retail sales and inventory analytics, focusing on data quality and accessibility.  Built ingestion workflows to load data from Oracle and PostgreSQL into centralized reporting environments, ensuring data integrity and consistency.  Developed Hive-based transformations processing over 500GB of retail data daily, contributing to the foundation of analytical reporting.  Created dimensional data models supporting comprehensive sales, inventory, and customer reporting solutions for various business units.  Performed extensive data cleansing, profiling, and validation activities, significantly improving overall data quality by 20% for downstream consumption.  Developed advanced SQL queries, views, and stored procedures to meet diverse business reporting requirements and enhance data accessibility.  Assisted with Google Cloud Platform (BigQuery) data migration initiatives and supported enterprise data lake implementations on BigQuery.  Created Power BI datasets and dashboards, translating complex data into actionable insights for business stakeholders.  Participated actively in Agile development processes using Jira for sprint planning and project tracking, ensuring timely delivery of data solutions.

Education

T

The University of Texas at Arlington

Master of Science, Data Science

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
Senior Data Engineer | Analytics Engineering & ELT Pipelines (dbt, Snowflake, AWS)
Senior Data Engineer with 4+ years of experience in analytics engineering, backend data infrastructure, and robust ELT pipeline development. Owns and optimizes dbt production model libraries with testing, documentation, lineage, and metric governance, with strong SQL and Snowflake expertise. Has built finance/operations data spines and established data quality standards and standards-based analytics engineering for executive, board, and investor reporting. Background includes scaling PySpark ETL, Kafka streaming ingestion, and orchestration automation using Airflow, Jenkins, and CI/CD in enterprise environments.

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 Meghana 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.

Meghana Gogineni

Data Engineer
Boston, MA, US
Kubernetes
Tableau
Amazon Redshift
Jenkins
Apache Kafka
Docker
SQL
JIRA
MySQL
PostgreSQL
Github
Data Migration
Python
AWS Step Functions
AWS Glue
Documentation
Power BI
Stitch
Jira
Oracle
AWS Lambda
Data Modeling
Available for hire fromNegotiable

Work History

A

Senior Data Engineer

Athenahealth Owned and optimized the dbt model library, ensuring models are clean, thoroughly tested, well-documented, and aligned with business requirements, including new data sources like Heap and GA4.  Managed and enhanced the ELT stack, encompassing Stitch, Snowflake, dbt, and associated orchestration tools, with a strong focus on reliability, performance, and clear data lineage.  Developed and maintained a robust finance and operations data spine on Snowflake, serving as the authoritative source of truth for core executive KPIs and metric definitions.  Defined and implemented analytics engineering standards, made key tooling decisions, and shaped the long-term roadmap for the data platform, prioritizing thoughtful architecture and data quality.  Collaborated cross-functionally with Engineering, FP&A, and Accounting teams to translate technical infrastructure into precise business needs and vice versa.  Established and enforced data quality standards, developed comprehensive testing frameworks, and implemented metric governance practices across the data ecosystem.  Provided critical data insights and reporting directly supporting executive, board, and investor decision-making, ensuring data integrity for high-stakes activities.  Led sprint planning and prioritization for the BI request queue in close collaboration with the BI team and various cross-functional stakeholders.  Automated over 150 Airflow workflows for pipeline orchestration and dependency management while integrating CI/CD pipelines with Jenkins and GitHub for streamlined deployments.
M

Data Engineer

Morgan StanleyJun 2022 - Dec 2023 • 1 yr 7 mos Designed and implemented scalable data engineering solutions using dbt and Snowflake, supporting financial risk management and regulatory reporting platforms.  Developed PySpark-based ETL pipelines, processing over 3TB of financial transaction data daily, with a focus on reliability and performance within a Snowflake environment.  Built ingestion frameworks to load critical financial data from Oracle and SQL Server into Snowflake, ensuring seamless integration and data availability.  Designed and optimized Snowflake ELT pipelines, significantly improving warehouse performance and query execution efficiency by 35% for analytical use cases.  Implemented Kafka-based streaming solutions to ingest over 10 million financial events daily, ensuring near real-time data for critical business operations.  Developed advanced SQL transformations and aggregation frameworks within Snowflake, supporting complex enterprise reporting and analytical requirements.  Implemented rigorous data quality validation and reconciliation processes, reducing reporting discrepancies by 30% through comprehensive testing frameworks.  Automated workflow scheduling through Apache Airflow, integrating deployments using Jenkins and GitHub to enhance operational efficiency and data pipeline reliability.  Collaborated extensively with business stakeholders in Agile Scrum environments, using Jira throughout all phases of the SDLC to deliver impactful data solutions.
W

Junior Data Engineer

WalmartFeb 2021 - May 2022 • 1 yr 4 mos Assisted in the development of robust ETL pipelines using Python and SQL for retail sales and inventory analytics, focusing on data quality and accessibility.  Built ingestion workflows to load data from Oracle and PostgreSQL into centralized reporting environments, ensuring data integrity and consistency.  Developed Hive-based transformations processing over 500GB of retail data daily, contributing to the foundation of analytical reporting.  Created dimensional data models supporting comprehensive sales, inventory, and customer reporting solutions for various business units.  Performed extensive data cleansing, profiling, and validation activities, significantly improving overall data quality by 20% for downstream consumption.  Developed advanced SQL queries, views, and stored procedures to meet diverse business reporting requirements and enhance data accessibility.  Assisted with Google Cloud Platform (BigQuery) data migration initiatives and supported enterprise data lake implementations on BigQuery.  Created Power BI datasets and dashboards, translating complex data into actionable insights for business stakeholders.  Participated actively in Agile development processes using Jira for sprint planning and project tracking, ensuring timely delivery of data solutions.

Education

T

The University of Texas at Arlington

Master of Science, Data Science

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
Pangea empowers fractional work across the world for marketing and design roles.