Advaith Koushik Srinivasamurthy
@advaithkoushiksriniv
I build reliable cloud data pipelines and AI-ready datasets.
What I'm looking for
I've built production data pipelines for Columbus Technology Solutions supporting CIVIX and Nationwide Insurance, turning database, file, and API data into trusted Snowflake and cloud datasets.
I develop Python, SQL, PySpark, Pandas, and dbt pipelines for feature preparation, model scoring, claims prediction, fraud detection, analytics, and AI-ready data products. I’ve integrated Scikit-learn and Amazon SageMaker scoring components into scheduled workflows and delivered validated training and inference datasets to data science teams.
Across AWS, Azure, Snowflake, Databricks, and Informatica, I orchestrate dependable ETL/ELT workflows with Airflow, Glue, Lambda, MWAA, and CI/CD delivery practices.
I focus on production reliability through schema validation, reconciliation, audit controls, monitoring, failure recovery, root-cause analysis, and reusable engineering practices. Earlier, at Cognizant supporting Amgen, I built healthcare integration pipelines and supported cloud migration, platform upgrades, and production troubleshooting.
Experience
Work history, roles, and key accomplishments
Data Engineer | Python & AI Integration
Columbus Technology Solutions / CIVIX
Jun 2025 - Jun 2026 (1 year)
Developed and maintained production Python services and data pipelines, integrating REST/JSON and AI APIs, and published trusted datasets to Snowflake. Built feature-preparation pipelines and automated data-quality controls.
Data Engineer | AI/ML Data Pipelines
Columbus Technology Solutions / Nationwide Insurance
Apr 2022 - Apr 2025 (3 years)
Developed production Python, SQL, dbt, and Informatica pipelines integrating data into AWS S3 and Snowflake. Built feature-engineering and model-scoring pipelines for actuarial, risk, claims-prediction, and fraud-detection use cases.
Data Engineer | ETL & Cloud Data
Cognizant Technology Solutions / Amgen
Sep 2019 - Jul 2021 (1 year 10 months)
Built and maintained Python, PySpark, SQL, and Informatica data pipelines for healthcare and enterprise integration workloads. Developed reusable data-preparation logic and supported platform upgrades and cloud migration.
Programmer Analyst Trainee
Cognizant Technology Solutions
Jan 2019 - May 2019 (4 months)
Supported enterprise BI and reporting validation by analyzing source data, report outputs, and business rules. Wrote SQL validation queries and documented defects for analytics deliverables.
Education
Degrees, certifications, and relevant coursework
University of Dayton
Master of Science, Engineering Management
Master of Science in Engineering Management from the University of Dayton.
Dayananda Sagar College of Engineering
Bachelor of Engineering, Engineering
Bachelor of Engineering from Dayananda Sagar College of Engineering.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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