Open to opportunities

Sarthak User

@sarthakuser6

Message

I build reliable data pipelines, platforms, and analytics products.

India

Message

What I'm looking for

I'm seeking Data Engineer, Data Platform Engineer, ETL Developer, or Analytics Engineer roles, including remote or relocation opportunities, where I can build reliable pipelines, data platforms, validated datasets, and analyst-facing products.

I've supported production data, API, and reporting workflows for Dow Chemical and Stellantis through Tata Consultancy Services, using SQL analysis, Snowflake, SQL Server, Postman, Jira, and ServiceNow to resolve discrepancies and restore critical workflows.

I build end-to-end data products including SkillSync, a job-market intelligence platform using Python, Airflow, dbt, PostgreSQL, FastAPI, Next.js, Power BI, and Docker. I also built real-time Kafka transaction streaming, fraud analytics, resume intelligence, and recommendation platforms with validation, monitoring, historical snapshots, analyst-facing outputs, and CI testing.

I'm targeting data engineering and data platform work where I can turn raw data into reliable, validated, useful products.

Experience

Work history, roles, and key accomplishments

Associate Developer - Data, API & Application Support

Tata Consultancy Services

Feb 2019 - Jul 2023 (4 years 5 months)

Queried and reconciled operational data using SQL Server, Snowflake SQL, Excel, and macros to resolve production discrepancies and restore downstream reporting and application workflows. Supported enterprise API and data workflows across Dow Chemical and Stellantis, investigating failures through SQL analysis, application logs, Postman, Jira, and ServiceNow.

SQL Server Excel Macros REST SOAP ASP.NET .NET C#JavaScript Postman Jira ServiceNow Azure AWS Agile Scrum

Education

Degrees, certifications, and relevant coursework

University of Missouri-Kansas City

Master of Science, Computer Science - Data Science

Grade: 3.3/4.0

Pursued a Master of Science in Computer Science with a focus on Data Science, including directed reading on fine-tuning and feature engineering for predictive and recommendation models.