Bhagavath Sai Darapureddy
@bhagavathsaidarapure
Data Engineer specializing in scalable AWS/Azure ETL, streaming, and performance optimization.
United StatesWhat I'm looking for
I am a Data Engineer with 4.5 years of experience designing and implementing scalable ETL pipelines on AWS and Azure, specializing in PySpark, serverless architectures, and streaming with Kafka/Kinesis. I have consistently improved processing efficiency (up to 42%), reduced pipeline runtimes, and optimized dashboard performance to accelerate business insights.
My work spans building EMR and Databricks pipelines, serverless ETL, Redshift tuning, Delta Lake architectures, and automated validation frameworks using Great Expectations and PyTest. I focus on reliability, security, and cost-efficiency while delivering near-real-time solutions that improve SLA compliance and reduce manual effort.
Experience
Work history, roles, and key accomplishments
Built PySpark and serverless ETL pipelines on AWS that increased daily processing throughput by 38%, reduced pipeline runtimes by 42%, and improved dashboard refresh speed by 45% to accelerate business reporting.
Engineered batch and streaming Delta Lake pipelines on Azure and Databricks that reduced compute costs 22%, improved processing efficiency 40%, and increased SLA adherence and data availability for reporting teams.
Assisted Hadoop/Hive table design and ETL migrations, improving scan times by 18% and Spark pipeline efficiency by 25%, and automated data validations to reduce manual effort by 40%.
Education
Degrees, certifications, and relevant coursework
The George Washington University
Master of Science, Data Science
Master of Science in Data Science completed in May 2025 at The George Washington University.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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