About Me

Hey, I'm Lahari — a data analyst and data engineer working with healthcare datasets. At Cigna I transform claims, eligibility, and provider data, keep quality checks in place, and surface what operations teams need from AWS-backed pipelines.

I mix analyst work (SQL, cleansing, KPI reporting, stakeholder summaries) with engineering work (ingestion, transformations, warehouses/stores, and monitoring). I also built document RAG pipelines at Anguliyam AI and research data workflows at Florida Tech.

Education

M.S. Computer Science — Systems, Data Engineering & Applied AI

Florida Institute of Technology · Aug 2022 – May 2024 · GPA 3.6 / 4.0

B.Tech Computer Science

KL University · Aug 2018 – May 2022 · 8.7 / 10

Core Competencies

Data analysis

SQL, Python, data cleansing, KPI tracking, executive summaries

Data engineering

ETL/ELT, ingestion pipelines, AWS Lambda, SQS, DynamoDB, RDS, S3

Healthcare data

Claims, eligibility, FHIR / HL7, PHI handling, HIPAA-aware design

Reporting & ops

Splunk, CloudWatch, operational dashboards, data quality monitoring, Terraform

GitHub Activity

GitHub Contribution Activity
Open source & projectsView on GitHub →

Professional Highlights

  • Cigna: claims and eligibility transformations, AWS data infrastructure (Lambda, DynamoDB, SQS, RDS), PHI protection, Splunk quality and incident analytics
  • Anguliyam AI: document ingestion, chunking, embeddings, and retrieval pipelines for enterprise RAG
  • Florida Tech: research data processing pipelines; Zoho: SQL performance and a reusable data access layer
  • M.S. CS — Systems, Data Engineering & Applied AI · AWS Solutions Architect · ServiceNow CSA · Cisco CCNA