---
title: "Bharath Eegala - Associate Software Engineer in Secunderābād | Tal"
description: "Meet Bharath Eegala, Data Engineer | SQL | Snowflake | AWS Glue | ETL | Tableau | Healthcare Analytics | Data Consultant based in Secunderābād. AI stack includes claude code, gemini, and github copilot."
image: "https://tal.club/meet/bharath-eegala/share-image"
---

# Bharath Eegala on Tal

## Headline

Data Engineer \| SQL \| Snowflake \| AWS Glue \| ETL \| Tableau \| Healthcare Analytics \| Data Consultant

## About

Data Engineering professional with 3 years of experience in healthcare analytics, ETL development, and cloud\-based data engineering\. Experienced in SQL, Snowflake, AWS Glue, Tableau, Python, Hadoop, and Apache Spark\. Skilled in data ingestion, transformation, data validation, reconciliation, and troubleshooting across large\-scale healthcare datasets\. Passionate about solving complex data problems, improving data quality, and delivering reliable analytics solutions\. Currently seeking opportunities in Data Engineering, Data Analytics, and Data Consulting\.

## Location

Secunderābād

## AI stack

claude code

gemini

github copilot

ChatGPT

Microsoft Copilot

## Work experience

Associate Software Engineer at Carelon Global Solutions India, Jul 2026 \- Present · 5 mos, Hyderabad, Telangana, India, National Cost Consumer Transparency \(NCCT\) Healthcare analytics platform focused on delivering cost transparency data for hospitals and physicians across the United States\. Contributed to cloud\-based ETL workflows using AWS Glue, Snowflake, SQL, and Tableau by performing data transformation, validation, reconciliation, and reporting to ensure accurate, analytics\-ready datasets for business stakeholders\.

Data Engineer at Carelon Global Solutions India, Jul 2023 \- Present · 3 yrs 5 mos, Developed and optimized AWS Glue ETL jobs using Python \(PySpark\) to ingest and transform large\-scale healthcare datasets, improving pipeline performance through job tuning and parallelization\. Contributed to the migration of data processing workflows from on\-premise Hadoop to AWS Cloud \(S3, Glue, EC2\), improving scalability and reducing infrastructure overhead\. Built complex SQL queries in Snowflake across 50\+ tables using multi\-table joins, window functions, CTEs, and aggregations to deliver analytics\-ready datasets for downstream BI teams\. Engineered data reconciliation frameworks to detect and resolve record count variances across source, staging, and target layers — improving data accuracy across reporting pipelines\. Developed and optimized Tableau dashboards with calculated fields, dynamic filters, and parameters; performed end\-to\-end data validation between transformed datasets and Tableau outputs consumed by 3 business teams\. Collaborated cross\-functionally with data engineers, analysts, QA, and business stakeholders to translate business rules into technical data logic for healthcare cost transparency reporting\.

## Education

Bachelor of Engineering, data science and big data analytics, kl university

Bachelor of Technology, kl university

[View the original profile](https://tal.club/meet/bharath-eegala)

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