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# Hemanth Theegala

**Headline:** Senior Data Engineer \| Building Scalable Data Platforms with Python, PySpark, Databricks, Snowflake, Kafka, Azure & AWS \| ETL/ELT \| Cloud Analytics \| Real\-Time Data Processing
**Profession:** Senior Data Engineer
**Location:** Kansas City Metropolitan Area

## About

Hemanth Theegala is a Senior Data Engineer at CitiusTech, where he builds and maintains scalable healthcare data pipelines for enterprise reporting, analytics, and operational decision\-making\. He designs ETL/ELT workflows that ingest, transform, orchestrate, validate, and optimize large volumes of data from multiple source systems, using Python, PySpark, AWS Glue, Amazon S3, Redshift, Kafka, and Airflow\. Hemanth’s strengths include cloud data\-platform development, real\-time processing, data quality, schema governance, warehouse development, and performance optimization across Azure and AWS environments\. He has built a metadata\-driven ingestion framework supporting more than 100 production pipelines, processing 3 million transactions daily, and reducing execution time by 40%\. He also designed automated schema\-validation safeguards to manage schema changes safely and prevent silent data corruption\. Earlier at Wipro Technologies, Hemanth supported enterprise ETL and reporting work before contributing to telecommunications data modernization initiatives using Azure Data Factory, Databricks, Snowflake, Delta Lake, Kafka, and Medallion Architecture principles\. He holds a master’s degree in Computer Science from the University of Central Missouri\.

## Highlights

- Built a metadata\-driven ingestion framework that manages more than 100 production pipelines\.
- Built a framework that processes 3 million transactions daily\.
- Reduced ingestion\-framework execution time by 40%\.
- Designed automated schema\-validation systems that safely handle schema changes and prevent silent data corruption\.
- Rolled out new frameworks through parallel validation, earning team trust during adoption\.
- Builds and maintains scalable healthcare data pipelines at CitiusTech for enterprise reporting, analytics, and operational decision\-making\.
- Designs healthcare ETL/ELT workflows using Python, PySpark, AWS Glue, Amazon S3, Redshift, Kafka, and Airflow\.
- Performs data ingestion, transformation, orchestration, quality validation, performance optimization, and cloud data warehouse development for healthcare datasets\.
- Delivers analytics\-ready datasets in collaboration with business stakeholders, analysts, and engineering teams while addressing scalability, performance, and regulatory compliance\.
- Supported enterprise ETL development and reporting initiatives as an ETL Developer at Wipro Technologies\.
- Assisted with Python, SQL Server, and SSIS ETL workflows, including data extraction, transformation, migration, validation, and reporting\.
- Contributed to data\-quality initiatives, performance tuning, and Power BI dashboard development at Wipro Technologies\.
- Worked on large\-scale telecommunications data modernization initiatives as a Data Engineer at Wipro Technologies\.
- Developed and optimized ETL/ELT pipelines using Azure Data Factory, Databricks, PySpark, Snowflake, Kafka, and Airflow for subscriber, billing, network, and operational data\.
- Designed scalable telecommunications data architectures using Delta Lake and Medallion Architecture principles\.
- Improved data quality, workflow automation, platform performance, and reliability through cross\-functional collaboration\.
- Has experience working remotely in distributed teams with Git and Jira\.
- Holds a master's degree in Computer Science from the University of Central Missouri\.

## Experience

- **Senior Data Engineer at CitiusTech** (2024\-03\-01–present) — Working as a Data Engineer on a healthcare data platform responsible for building and maintaining scalable data pipelines that support enterprise reporting, analytics, and operational decision\-making\. I design ETL/ELT workflows using Python, PySpark, AWS Glue, Amazon S3, Redshift, Kafka, and Airflow to process large volumes of healthcare data from multiple source systems\. My responsibilities include data ingestion, transformation, orchestration, data quality validation, performance optimization, and cloud\-based data warehouse development\. I collaborate with business stakeholders, analysts, and engineering teams to deliver reliable, analytics\-ready datasets while ensuring scalability, performance, and regulatory compliance\.
- **Data Engineer at Wipro Technologies** (2022\-07\-01–2023\-11\-01) — Worked on large\-scale telecommunications data modernization initiatives focused on building cloud\-native data platforms and real\-time analytics solutions\. Developed and optimized ETL/ELT pipelines using Azure Data Factory, Databricks, PySpark, Snowflake, Kafka, and Airflow to process subscriber, billing, network, and operational datasets\. Designed scalable data architectures using Delta Lake and Medallion Architecture principles while supporting reporting, business intelligence, and advanced analytics requirements\. Partnered with cross\-functional teams to improve data quality, automate workflows, and enhance overall platform performance and reliability\.
- **ETL Developer at Wipro Technologies** (2021\-01\-01–2022\-06\-01) — Started my data engineering journey by supporting enterprise ETL development and reporting initiatives\. Assisted in building and maintaining ETL workflows using Python, SQL Server, and SSIS while working on data extraction, transformation, migration, validation, and reporting solutions\. Collaborated with senior engineers on data quality initiatives, performance tuning, and dashboard development using Power BI\. This role provided hands\-on experience with data integration, database development, reporting, and enterprise data engineering best practices\.

## Education

- Master's degree, Computer Science — University of Central Missouri (2024\-01\-01–2025\-12\-01)

## FAQ

### What does Hemanth do now?

Hemanth is a Senior Data Engineer at CitiusTech\. He works on a healthcare data platform that supports enterprise reporting, analytics, and operational decision\-making\.

### What does Hemanth do at CitiusTech?

At CitiusTech, Hemanth builds and maintains scalable data pipelines for healthcare data from multiple source systems\. His responsibilities include ingestion, transformation, orchestration, data\-quality validation, performance optimization, and cloud\-based data warehouse development, with attention to scalability, performance, and regulatory compliance\.

### What technologies does Hemanth use in his current role?

Hemanth designs ETL/ELT workflows using Python, PySpark, AWS Glue, Amazon S3, Redshift, Kafka, and Airflow\. He collaborates with business stakeholders, analysts, and engineering teams to deliver reliable, analytics\-ready datasets\.

### What scalable data\-platform framework has Hemanth built?

Hemanth built a metadata\-driven ingestion framework that manages more than 100 production pipelines, processes 3 million transactions daily, and reduced execution time by 40%\.

### How has Hemanth addressed schema changes and data quality?

Hemanth designed automated schema\-validation systems that handle schema changes safely and prevent silent data corruption in production data\.

### How does Hemanth introduce new data frameworks?

Hemanth has experience rolling out new frameworks through parallel validations, helping establish trust with skeptical engineering teams before adoption\.

### What is Hemanth's experience working with distributed teams?

Hemanth has worked remotely in distributed teams using collaboration tools including Git and Jira\.

### What did Hemanth do as an ETL Developer at Wipro Technologies?

Hemanth started his data engineering career at Wipro Technologies as an ETL Developer\. He supported enterprise ETL development and reporting initiatives, assisting with ETL workflows using Python, SQL Server, and SSIS, as well as extraction, transformation, migration, validation, and reporting solutions\.

### What additional experience did Hemanth gain in his ETL Developer role at Wipro Technologies?

As an ETL Developer at Wipro Technologies, Hemanth collaborated with senior engineers on data\-quality initiatives, performance tuning, and Power BI dashboard development\. The role provided hands\-on experience in data integration, database development, reporting, and enterprise data\-engineering practices\.

### What did Hemanth do as a Data Engineer at Wipro Technologies?

As a Data Engineer at Wipro Technologies, Hemanth worked on large\-scale telecommunications data modernization initiatives\. He built cloud\-native data platforms and real\-time analytics solutions for subscriber, billing, network, and operational datasets\.

### What technologies and architecture approaches did Hemanth use at Wipro Technologies?

At Wipro Technologies, Hemanth developed and optimized ETL/ELT pipelines using Azure Data Factory, Databricks, PySpark, Snowflake, Kafka, and Airflow\. He designed scalable architectures using Delta Lake and Medallion Architecture principles and partnered with cross\-functional teams to improve data quality, automate workflows, and enhance platform performance and reliability\.

### What are Hemanth's core technical skills?

Hemanth has experience with Python, PySpark, Apache Airflow, Delta tables, Databricks, Snowflake, Kafka, Azure Data Factory, AWS Glue, Amazon S3, Redshift, SQL Server, SSIS, Power BI, Git, and Jira\.

### What professional problems does Hemanth focus on?

Hemanth focuses on scalable data platforms, ETL/ELT, cloud analytics, real\-time data processing, governed data, data quality, and reliable production data systems\. He is motivated by complex data and AI platforms and values collaboration rather than building pipelines in isolation\.

### What is Hemanth's education?

Hemanth holds a master's degree in Computer Science from the University of Central Missouri\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/themanth532

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