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Divya Jyothi Pasala

@divyajyothipasala

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Senior Data Engineer specializing in scalable AWS ETL and analytics.

United States

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What I'm looking for

I seek senior data engineering roles focused on cloud-native ETL, scalable data platforms, strong QA/monitoring, collaboration with analytics teams, and opportunities to modernize pipelines and improve data product performance.

I am a Senior Data Engineer with 8+ years designing, building, and maintaining scalable ETL pipelines and data platforms, primarily on AWS. I focus on creating analytics-ready data products across Healthcare, Insurance, and enterprise domains.

My technical repertoire includes Python, PySpark, Spark, AWS Glue, Lambda, Step Functions, SNS, SQS, Amazon Redshift, Snowflake, and DBT, and I consistently deliver performant SQL-based transformations, validation, and reporting.

I implement robust data quality frameworks, monitoring, and CI/CD practices, and have improved query performance and pipeline reliability through optimizations like clustering, partitioning, Snowpipe, and orchestration with Airflow and Step Functions.

I collaborate closely with stakeholders, provide 24/7 production support via ServiceNow, document runbooks and data flows, and drive ETL modernization efforts to migrate legacy workflows to cloud-native, highly available architectures.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Boston Scientific

Feb 2024 - Present (2 years 1 month)

Designed and maintained scalable AWS ETL and event-driven pipelines using PySpark, Glue, Lambda, and Step Functions, improving query performance by 35% and enabling reliable analytics-ready datasets.

Python Pyspark AWS Glue Lambda Step Functions SNS SQS Snowflake Redshift

Cloud Data Engineer

HomeSite Insurance

Oct 2022 - Dec 2023 (1 year 2 months)

Built and optimized AWS Glue and Spark ETL pipelines for insurance policy and claims data, implemented data validation and SCD handling, and configured CloudWatch monitoring to meet strict SLAs.

AWS Glue Pyspark EMR Redshift SQL Data Validation Cloudwatch ServiceNow

ETL Integration Engineer

ValueLabs

Sep 2019 - Aug 2022 (2 years 11 months)

Developed scalable cloud-native ETL and Kafka streaming pipelines using Glue, Spark, Scala, and Lambda, migrated on-prem workflows to AWS and improved large-scale query performance.

AWS Glue Spark Scala Kafka Lambda Redshift Snowflake Hive Hadoop

Data & ML Analyst

GenepowerRx

Jun 2017 - Sep 2019 (2 years 3 months)

Performed EDA and statistical modeling on large healthcare datasets, built predictive models and BI dashboards to inform business decisions and optimized SQL for reporting.

Python SQL Snowflake PostgreSQL Tableau Power BI predictive modeling EDA