Jignesh Jadhav

About Jignesh Jadhav

As someone who has always been captivated by the stories that numbers tell, I’ve spent the last five years diving deep into the world of data as a Business Intelligence Engineer at Amazon. My journey started at Northeastern University where I discovered my passion for analytics—a passion that has only grown as I\'ve worked on automating data processes and creating ETL pipelines that help teams make informed decisions faster. Every project I tackle is fueled by my belief that data can drive meaningful change.At Amazon, I’ve had the opportunity to spearhead initiatives that have made a real impact. For instance, developing automated ETL pipelines reduced our data processing time by 40%, allowing cross-functional teams to access critical insights much quicker. In my previous role as a Senior Business Analyst for the Trust and Safety team, I led efforts that resulted in a remarkable 30% decrease in fraudulent activities within just six months of implementation—an achievement that reinforced my commitment to using data for good.Before my time at Amazon, I gained valuable experience as a Data Scientist co-op where I integrated databases with Tableau to create dashboards that improved productivity and safety scores by 11.2% while also reducing safety-related financial losses by 10.8%. These experiences taught me not only about technical skills but also about collaboration and communication—key components in any successful project.Outside of work, I enjoy staying active through intramural sports and engaging with my community through social media marketing initiatives during my university days. These experiences have shaped me into a well-rounded individual who values teamwork just as much as personal growth.I’m always open to connecting with fellow professionals who share a passion for leveraging data to solve real-world problems or those looking for insights on building effective BI systems. Feel free to reach out via email if you want to chat about anything from ETL automation to sports! Skills- ETL Automation- Data Analytics- Dashboard Creation (Tableau)- Process Optimization- Fraud Prevention Strategies- Team Collaboration

Experience

1. Senior Business Intelligence Engineer

   Amazon

   Jan 2024 — Present · Bellevue, WA, US

   Key accomplishments include:* Spearheaded the development of automated ETL pipelines that reduced data processing time by 40%, significantly enhancing reporting speed for cross-functional teams at Amazon.* Conducted complex analyses on AGI-related datasets leading to actionable insights that improved operational efficiencies by 25%, directly impacting project timelines and resource allocation.* Collaborated with diverse teams to identify key business challenges, resulting in the implementation of data-driven solutions that increased overall productivity by 30% across departments.* Developed comprehensive dashboards that visualized critical metrics for stakeholders, facilitating informed decision-making processes and improving strategic planning efforts by 20%.Skills: Business Intelligence, Data Automation, ETL Pipelines

Education

• Northeastern University

  Master of Science - MS, Data Analytics

• Pillai College of Engineering

  Bachelor of Engineering, Electrical, Electronics and Communications Engineering