Aug 2023 – Dec 2024 · 1 yr 4 mos

• Helped professors and students with Big Data, Cloud Computing, and Database coursework ensuring smooth lab sessions and projects data pipelines and managing databases using SQL, Python and Spark improving data analysis for research and student performance tracking.
• Conducted review sessions and created tutorials/documentation on data modeling, normalization, and governance best practices, improving comprehension for diverse student groups.
• Assisted in configuring AWS (S3, EC2) and Azure (ADF, Functions, AKS) environments for coursework, giving students exposure to cloud-native data engineering.
• Conducted review sessions and created tutorials/documentation on data modeling, normalization, and governance best practices, improving comprehension for diverse student groups.

Apr 2022 – Aug 2023 · 1 yr 4 mos · Hyderabad · Hybrid

• As a Data Engineer at Optum (UnitedHealth Group), I became part of a team responsible for building and optimizing the Enterprise Clinical Data Hub (ECDH), a critical platform designed to streamline clinical data ingestion from 30+ sources, including hospitals, internal systems, and third-party providers. Our goal was to ensure data accuracy, improve processing efficiency, and maintain regulatory compliance in a fast-paced healthcare environment. Working closely with data analysts, software engineers, and healthcare professionals, I helped design, develop, and optimize key data pipelines, focusing on scalability, security, and real-time processing.
• Highlights:
• Collaborated with cross-functional teams including stakeholders, Business Analysts and QA to design and deliver end-to-end data pipelines, resulting in 30% faster deployment cycles.
• Designed and implemented cloud-native pipelines in Databricks (PySpark, Delta Lake) to ingest HL7v2, FHIR, and CCDA datasets into Snowflake and reducing data preparation time by 35%.
• Implemented Snowflake RBAC (Role-Based Access Control) to enforce fine-grained data access policies, ensuring data security and compliance with HIPAA/GDPR requirements.
• Integrated Spark pipelines with Kafka and Cosmos DB, ensuring seamless ingestion of streaming ADT, Lab, ORU, ODX and RSP messages which directly impacted UHG’s health dashboards used by 5K+ clinicians nation-wide.
• Reduced manual data collation time by 200 hours per month by building the ECDH (Enterprise Clinical Data Hub) application using Kafka, Java and Spring Boot to ingest data from 30+ FHIR/HL7 sources.
• Wrote robust SQL queries and Python logic to validate and reconcile inconsistencies between NoSQL collections and normalized SQL datasets, reducing data integrity issues by 80%..
• Reduced data processing time by 35% by implementing Snowflake procedures, Snowpipes, and streams for auto-mated incremental loading that cuts approximately 80 hours/month of manual effort.

Jun 2019 – Apr 2022 · 2 yrs 10 mos · Chennai · Hybrid

• Joining DXC Technology, I became part of a dynamic team responsible for transforming data into actionable insights for SmartOps, an advanced platform driving Predictive and Preventive Maintenance at Stellantis. My role involved designing scalable data pipelines, enhancing real-time processing, and improving system efficiency to support mission-critical operations across 70+ business units. I worked closely with engineers, analysts, and system architects, ensuring seamless data flow, optimized query performance, and high availability for complex datasets. The challenge wasn’t just managing huge volumes of data, but making it faster, more accessible, and insightful for decision-makers.
• Highlights:
• Engineered batch processing pipelines using Spark (Scala) for the SmartOps Platform in an Agile environment, im-proving resource management and allocation across 70+ operational units.
• Migrated legacy EHR data to AWS Data Lake using Delta Lake for ACID compliance, utilizing AWS Glue to catalog and prepare over 2 million patient records for secure downstream access, improving query performance by 30%.
• Processed structured (Parquet, Avro, CSV) and semi-structured (JSON, XML) data formats that optimizes storage and schema design which reduced storage costs by 20% and improved data retrieval speed by 40%.
• Managed Jenkins CI/CD pipelines, achieving a 95% deployment success rate and ensuring consistent production reliability.
• Skills: Apache Spark | Apache Kafka | Scala | Hive | Hadoop | Snowflake | Ni-Fi | Microsoft Azure | AWS | HDFS | REST APIs | SQL | Databricks | Data Pipelines | Java Development | Big Data Analytics | Jenkins | Git | Data Loading

Jul 2017 – Jun 2019 · 1 yr 11 mos · India · On-site

• Contributed to the development of a unified digital health platform for managing patient records, hospital operations, and insurance claim workflows across the Fortis hospital network. The project focused on automating key clinical and administrative tasks including patient onboarding, diagnostics, discharge summaries, and reimbursement processes, while maintaining data security and healthcare interoperability standards.
• Highlights:
• Contributed to the design & development of digital payments banking platform, which supported 10000+ accounts and helped achieve a 200% increase in user retention.
• Implemented secure REST APIs with input validation, centralized exception handling and secured user access by implementing the OAuth2 authentication protocol in compliance with security standards.
• Built and deployed user authentication and onboarding microservices using Spring Boot, reducing login failures by 80% and improving onboarding success by 50%.
• Integrated NSDL and Aadhaar-based e-KYC services using X.509 certificate parsing, enabling document-free patient verification and reducing onboarding time by 60%.
• Streamlined CI/CD pipelines using Git, Jenkins, and Docker, cutting release time by 60%.
• Skills: Spring Boot| Java | AWS Lambda| AWS S3| PostgreSQL| Jenkins| X.509 Certificates| PDF Generation| HIS Integration| REST APIs| Microservices Architecture