Open to opportunities

Gowtham User

@gowthamuser2

Senior Data Engineer focused on scalable lakehouse pipelines and trusted analytics for regulated healthcare and supply-chain domains.

Zimbabwe

Message

What I'm looking for

I’m looking for a team where I can build and optimize cloud-native lakehouse data pipelines, enforce strong data quality and governance, and deliver production-ready analytics—collaborating in Agile environments with real ownership of performance and reliability.

I’m a Senior Data Engineer with 7+ years designing, developing, and optimizing scalable data platforms, cloud-native pipelines, and analytics solutions across healthcare, pharmaceutical, supply chain, and automotive domains. I build enterprise data lakes and lakehouse architectures, ETL/ELT frameworks, and dimensional models to deliver trusted datasets for BI, operational analytics, machine learning, and regulatory reporting.

Most recently, I developed and maintained Azure lakehouse solutions and ingestion/transformation frameworks processing 10M+ records daily, improving accessibility and reducing processing latency by ~30%, while also optimizing Spark workloads and ELT pipelines by ~25%. I implement Medallion Architecture, data quality frameworks, and governance/security controls (including HIPAA-aligned practices), while collaborating in Agile teams to deliver reliable production support and AI-ready, model-ready datasets.

Experience

Work history, roles, and key accomplishments

Current

Sr. Data Engineer

Current

Cardinal Health

Nov 2024 - Present (1 year 8 months)

Developed and maintained enterprise data pipelines and lakehouse solutions for pharmacy operations and healthcare supply chain analytics using Azure Databricks, ADLS Gen2, Delta Lake, and Azure Data Factory. Built ETL/ELT, dimensional models in Snowflake, and data quality/governance frameworks to support reliable analytics and AI-ready datasets.

Azure Data Engineer

Cigna Healthcare

Sep 2020 - Jul 2023 (2 years 10 months)

Built scalable Azure data pipelines for healthcare claims, member analytics, population health initiatives, and regulatory reporting. Implemented reusable ETL/ELT workflows, data quality controls, dimensional models, and HIPAA-aligned security in ADLS/Synapse, with Power BI reporting support.

AWS Data Engineer

Harm an International

Mar 2019 - Aug 2020 (1 year 5 months)

Developed scalable AWS-based data processing pipelines for automotive and connected technology analytics and reporting. Built batch ingestion and transformation frameworks using PySpark/SQL on AWS EMR, centralized data lakes in S3, and reporting models in Redshift with Hive and Power BI support.

Python PySpark SQL S3 Amazon Redshift Hive Hadoop ETL Data Lake data transformation Data Validation Data Enrichment Power BI Shell Scripting Git CI CD

SQL/ETL Developer

Harm an International

Jun 2017 - Mar 2019 (1 year 9 months)

Developed and optimized SQL Server ETL and reporting solutions for automotive and connected technology operations. Built SSIS packages for data integration, SSRS reports for business insights, and designed dimensional warehouse structures with SCD Type 1 and Type 2 using T-SQL and SQL Server Agent.