VAMSHI KRISHNA BANDA
Azure Data Engineer
Hyderabad
Summary
Results-driven Data Engineer with 4 years of experience designing and optimizing scalable data pipelines using Azure, Data bricks, and PySpark. Improved data processing efficiency by 35% and reduced pipeline errors by 60% through automation and Delta Lake optimizations. Skilled in building HIPAA-compliant ETL work flows for health care analytics, with a passion for translating raw data into actionable business insights. Certified in Azure (DP-203) and committed to continuous learning in distributed systems and data governance
Overview
5
5
years of professional experience
2
2
Certifications
Work History
Azure Data Engineer
Tech Mahindra (Client: GSK)
05.2025 - 09.2025
- Built Spark applications for managing complex workflows of extraction, transformation, and aggregation from source systems and stored the processed data into ADLS using Azure Databricks Notebooks.
- Migrated existing Spark Scala applications into PySpark for smoothly-run and better-maintainable Geo Tracker-related functionalities.
- Databricks level code deployments doing from one branch to another branch.
Azure Data Engineer
Infosys (Client: Molina Healthcare)
02.2022 - 11.2022
- Optimized data processing by implementing efficient ETL pipelines and streamlining database design.
- Migrated 15 legacy SSIS workflows (on-prem SQL Server) to Azure Data Factory with PySpark U-SQL scripts, reducing Medicaid claims processing time from 8 hours to 35 minutes (22K claims/hour throughput).
- Eliminated 12,000+ duplicate claims/month using Spark SQL window functions (row_number() over partition by MemberID, ClaimDate), saving $850K/month in erroneous payments.
- Optimized Z-ordering on MemberID and EffectiveDate, reducing MCO reporting queries from 12 mins to 9 seconds (1.2B rows scanned/day).
- Implemented PHI masking using PySpark UDFs (e.g., mask_ssn(), hash_email()) to comply with HIPAA audits, redacting 200+ fields across 15 clinical datasets.
- Integrated with CMS Blue Button 2.0 API using ADF REST connectors to validate 4M+ Medicare member records against federal benchmarks.
- Collaborated on ETL tasks, maintaining data integrity and verifying pipeline stability.
- Developed and optimized Azure data pipelines to enhance data processing efficiency, improving overall data accessibility.
- Collaborated with cross-functional teams to implement data integration solutions, ensuring compliance with healthcare regulations and standards.
- Designed and maintained SQL databases, facilitating accurate data retrieval and reporting for healthcare analytics.
- Automated data workflows using Azure Data Factory, significantly reducing manual processing time and improving data accuracy.
Azure Data Engineer
Infosys Technologies (Client: Optum)
01.2021 - 01.2022
- Automated routine tasks using Python scripts, increasing team productivity and reducing manual errors.
- Built 10+ ETL pipelines in Azure Data Factory to process 5TB/month of patient data, reducing manual workflow errors by 75% and accelerating daily reporting by 2 hours.
- Optimized slow-running Spark SQL queries by tuning joins and partitioning strategies, cutting query runtime from 10 minutes to 90 seconds for 1M+ row datasets.
- Collaborated on a FHIR-compliant data model to track 500K+ patient records, ensuring HIPAA compliance via column-level encryption in Databricks Unity Catalog.
- Reduced cloud storage costs by 25% by archiving raw files to Cool Tier storage after Delta Lake ingestion.
- Enabled faster audits for Medicare compliance teams.
Education
B.Tech - Mechanical Engineering
JNTU Anantapur
07.2021
Skills
Cloud & Services: Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Data Lake Gen2, Azure Blob Storage
Certification
Microsoft Certified: Azure Data Engineer Associate (DP-203)
Timeline
Azure Data Engineer
Tech Mahindra (Client: GSK)
05.2025 - 09.2025
Azure Data Engineer
Infosys (Client: Molina Healthcare)
02.2022 - 11.2022
Azure Data Engineer
Infosys Technologies (Client: Optum)
01.2021 - 01.2022
B.Tech - Mechanical Engineering
JNTU Anantapur