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Maithili Bhandarkar

@maithilibhandarkar

I build and modernize data pipelines, databases, and analytics solutions for federal and enterprise teams.

United States
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What I'm looking for

I’m looking to build and modernize data pipelines, databases, reporting, and analytics solutions while partnering with stakeholders to improve data quality and support informed decisions.

At GSA Digital Experience, I’ve built ETL/ELT data pipelines from scratch using Databricks, EMR, PySpark, Python, PostgreSQL, and HiveSQL. I analyze legacy applications, address data duplication for ASN, and scale solutions for new data sources with different structures.

Across DHS CBP, Capital One, and Marriott International, I’ve reverse-engineered data-processing logic, identified data anomalies, migrated SQL Server stored procedures to Python, delivered PowerBI dashboards, and supported fraud detection workflows. I’ve also optimized Oracle SQL performance, built reporting data processes, and partnered closely with business users, product owners, stakeholders, developers, and testers.

With more than 15 years of experience across federal government, finance, insurance, and hospitality, I bring hands-on database, ETL, reporting, and application-development experience along with a practical, delivery-oriented approach.

Experience

Work history, roles, and key accomplishments

GS
Current

Lead Data Engineer

GSA

Jan 2021 - Present (5 years 7 months)

Analyzed legacy applications and implemented ETL/ELT data pipelines for GSA Digital Experience, providing solutions for data duplication and scaling applications for future data sources.

Education

Degrees, certifications, and relevant coursework

RV

Rani Durgavati Vishwavidyalaya

Master of Science, Computer Science

2003 -

Pursued a Master's degree in Computer Science, focusing on advanced topics in computing and software development.

RV

Rani Durgavati Vishwavidyalaya

Bachelor of Science, Computer Science

2000 -

Completed a Bachelor's degree in Computer Science, building a strong foundation in programming and computer systems.

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