Open to opportunities

Harsha S

@harshas1

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Results-driven data analyst specializing in PySpark, Python, SQL, and scalable data pipelines.

India

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What I'm looking for

I seek roles where I can build scalable data pipelines, automate ETL workflows, collaborate with cross-functional teams, and drive data-driven business impact.

I am a results-driven Data Analyst with 2.5+ years designing and optimizing large-scale data pipelines using PySpark, Python, and SQL across AWS and Databricks. I focus on distributed data processing, performance tuning, and automation to deliver production-ready ETL workflows.

At my current role I led data extraction, cleaning, and preprocessing for AI/ML readiness, migrated systems from FoxPro to SQL improving efficiency by 70% and reducing errors by 90%, and implemented QC automation that cut process time by up to 80%. I managed data for a portfolio of 8+ clients and received the Bravo Award for client-focused performance.

I collaborate effectively with cross-functional teams to turn data into actionable insights, and I bring hands-on experience with Power BI, AWS serverless architectures, GitHub-based workflows, and SQL stored procedures to build scalable, reliable data solutions.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

ConcertAI

Jan 2023 - Present (2 years 10 months)

Led extraction, cleaning, and preprocessing for AI/ML readiness and migration from FoxPro to SQL, improving efficiency by 70% and reducing errors by 90%; automated QC processes to cut process time by up to 80% while managing data for 8+ clients.

Python Pyspark SQL MSSQL PostgreSQL Snowflake AWS Databricks Data Migration Power BI

Education

Degrees, certifications, and relevant coursework

Government Engineering College (Visvesvaraya Technological University)

Bachelor of Engineering, Mechanical Engineering

Grade: CGPA 8

Completed a Bachelor of Engineering in Mechanical Engineering with a CGPA of 8, covering core mechanical engineering principles and projects involving database and cloud technologies.