Open to opportunities

Abhishek Jadhav

@abhishekjadhav7

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Data engineer with 3 years' experience delivering ETL pipelines, cloud data platforms, and analytics-driven impact.

United States

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What I'm looking for

I seek roles building scalable data platforms and automated ETL/CI-CD workflows in collaborative, product-minded teams that prioritize cost optimization, reliability, and stakeholder self-service.

I am a data engineer who builds scalable ETL pipelines, modern data infrastructure, and automated reporting to drive measurable business outcomes. I have implemented Snowflake-based data models, processed terabytes of data on AWS, automated deployments with CI/CD and IaC, and developed analytics and ML-enabled solutions that reduced costs and improved operational efficiency.

My work spans customer analytics, inventory optimization, cost governance, and ML/LLM projects — delivering outcomes like 92% churn prediction accuracy, 70% faster deployments, and multimillion-dollar visibility for revenue planning. I collaborate with cross-functional teams to translate requirements into production solutions and prioritize reliability, cost optimization, and stakeholder self-service.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer Intern

Current

Locke Solutions

May 2025 - Present (6 months)

Led cross-functional data initiatives to modernize infrastructure and ETL pipelines, implementing CI/CD and Snowflake datamodels that reduced deployment time 70% and delivered measurable revenue and operational improvements.

Python AWS S3 Snowflake Snaplogic CI CD Streamlit Data Modeling ETL

Data Analyst

Locke Solutions

May 2025 - Dec 2025 (7 months)

Partnered with Sales, Manufacturing, and Finance to deliver 15+ Power BI and Streamlit dashboards monitoring $5M+ quarterly revenue and operational KPIs, reducing month-end reporting time by 40% and enabling a 92% churn prediction for proactive retention.

Power BI Streamlit SQL Snowflake Python Data Modeling Dashboarding Requirements Gathering

Data Engineer

Pitney Bowes

Feb 2023 - Jul 2024 (1 year 5 months)

Delivered $90K+ annual cost savings via data lake optimization, automated ETL pipelines, and governance frameworks that reduced query times 60% and supported enterprise analytics for 100+ analysts.

Snowflake Snaplogic Hadoop Spark Terraform Python Data Governance

Associate Data Engineer

Pitney Bowes

Feb 2022 - Feb 2023 (1 year)

Automated access provisioning and reporting workflows, reducing onboarding time two weeks and doubling provisioning speed while creating tooling that improved data science workflows and cloud adoption by 50%.

GraphQL Neo4j Python Pandas Streamlit Power BI Automation

Data Analyst

Pitney Bowes

Feb 2022 - Feb 2023 (1 year)

Automated operational reporting and built Streamlit and Power BI solutions that eliminated 15+ hours monthly of manual work, improved analytics workflow efficiency by 50%, and improved delivery performance by 10%.

Python Pandas Power BI Streamlit SQL Automation Reporting Data Integration GraphQL

Education

Degrees, certifications, and relevant coursework

State University of New York at Buffalo

Master of Science, Data Science and AI

2024 - 2025

Master of Science in Data Science and AI program at SUNY Buffalo covering advanced data science, machine learning, and AI topics from Aug 2024 to Dec 2025.

DY Patil School of Engineering

Bachelor of Science, Computer Science

2018 - 2022

Bachelor of Science in Computer Science program completed from Aug 2018 to Apr 2022 focusing on computer science fundamentals and software development.