Abhishek Jadhav
@abhishek_data
Data engineer specializing in cloud, Snowflake, and LLM-enabled analytics.
What I'm looking for
I am a data engineer with over three years of experience building cloud-native data infrastructure, ETL pipelines, and LLM-enabled analytics that drive measurable business outcomes. I focus on Snowflake, AWS, and production-grade automation to reduce costs and accelerate decision-making.
At Pitney Bowes I led data lake optimization, automated ETL pipelines, and cost-governance initiatives that delivered significant annual savings and operational improvements; I earned the ACE Award of the Year for data lake optimization. I build AI/LLM solutions and agentic workflows using LangChain and Azure OpenAI to enable self-service analytics and faster stakeholder query generation.
I enjoy cross-functional collaboration—partnering with sales, manufacturing, and finance—to deploy dashboards, predictive models, and automation that improve revenue, inventory, and production efficiency. I value humility, continuous learning, and creating a sense of belonging while delivering high-impact technical solutions.
Experience
Work history, roles, and key accomplishments
Data Engineer Intern
Locke Solutions
May 2025 - Present (7 months)
Led cross-functional data initiatives to modernize data infrastructure, implemented CI/CD and IaC reducing deployment time by 70%, and built analytics pipelines that delivered a 92% churn-prediction model and drove a 30% sales increase for revenue teams.
Data Engineer
Pitney Bowes
Feb 2023 - Jul 2024 (1 year 5 months)
Delivered $90K+ in annual cost savings via cloud optimizations and data governance, built 13+ SnapLogic ETL pipelines to Snowflake with zero-data-loss monitoring, and reduced query times by 60% through data lake optimization.
Associate Data Engineer
Pitney Bowes
Feb 2022 - Feb 2023 (1 year)
Accelerated data operations by automating access provisioning (100% faster) and reduced onboarding time by two weeks; led Salesforce-to-Jira migration and developed automation tools that improved cloud adoption by 50%.
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 completed with coursework and projects in machine learning, LLMs, and data engineering.
DY Patil School of Engineering
Bachelor of Science, Computer Science
2018 - 2022
Bachelor of Science in Computer Science with coursework in programming, data engineering, and analytics.
Availability
Location
Authorized to work in
Job categories
Skills
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