Summary
Overview
Work History
Education
Skills
Certification
Websites
Awards
Timeline
Generic

Prathamesh Chhariya

Bothell,WA

Summary

Data Engineer with over 12 years of experience in designing and implementing end-to-end data solutions in both cloud and on-premise settings. Expertise in creating scalable data pipelines and distributed systems that enhance data accessibility and usability. Proven ability to collaborate effectively with Product Management to ensure alignment of data solutions with strategic business objectives. Committed to leveraging data analytics to address complex challenges and facilitate data-driven decision-making.

Overview

12
12
years of professional experience
1
1
Certification

Work History

Data Engineer

Meta
Seattle
03.2020 - Current
  • - Optimized data pipeline performance, reducing compute costs by 35% and decreasing data land time from 12 hours to 2 hours.
  • - Built a latency and reliability monitoring framework in collaboration with the team, leading to a 58% improvement in latency and a 23% increase in data reliability.
  • - Led and contributed to the launch of Facebook Ray-Ban Stories, participating in the full product development lifecycle; supported 10+ major product launches.
  • - Mentored 12+ Data Engineers, fostering team growth, improving code quality, and accelerating onboarding for new hires.
  • - Demonstrated thought leadership by designing a scalable framework for the QA team to automatically detect, group, and assign similar issues - saving over 120 manual hours per week through intelligent automation.
  • 5+ Years

Senior Data Engineer

Amazon.com, Inc
Seattle
08.2017 - 03.2020
  • - Migrated data from Oracle to AWS Redshift, saving the Checkout team $200K+ annually.
  • - Built Checkout-specific datasets from large-scale clickstream data, enabling insights for 20+ downstream teams.
  • - Developed core metrics for cart and checkout behavior, now used as guardrails for all Checkout-related experiments to enhance customer experience.
  • Created dashboard to track and boost Checkout conversion rates which is used by the amazon leadership team.
  • 2.8 Years

Senior Data Analyst

Mindtree(Microsoft, Unilever)
02.2013 - 08.2017
  • - Designed ETL packages(SSIS) while dealing with different data sources (SQL Server, Flat Files etc.)
  • - Created Reports from Cubes by writing MDX queries and Built Power BI reports
  • - Collaborated with different product engineering teams to build a common data lake.
  • - Built machine learning models to predict out of stock products
  • 4.5 Years

Education

B.E.(Hons.) - Electronics and Communication

RGPV University
01.2012

Class XII -

MPBSE, India
01.2008

Class X -

MPBSE, India
01.2006

Skills

  • SQL querying
  • Python
  • Hadoop ecosystem
  • Spark framework
  • Data warehousing and modeling
  • Data pipeline optimization
  • Machine learning
  • Data visualization and reporting

Certification

  • 2019 'Mathematical Fundamentals of Machine Learning' from Amazon Machine learning university.
  • 2016 Data Science-Edureka.
  • 2015 Microsoft: DAT207x Analyzing and Visualizing Data with Power BI.
  • 2015 MITx: 15.071x The Analytics Edge.
  • 2014 Big Data Technology Landscape, Machine Learning and NLP (Natural Language Processing), Analytics with R and Rhadoop.

Awards

  • 2024 Participated in Facebook DECon 2024, presented my idea about data tester using LLM.
  • 2022 Won FRL DE fixathon 2022 in Meta.
  • 2019 Two of my innovation ideas got selected for implementation for checkout and won 'Most Shippable' and 'Most Business Impact' title.
  • 2019 Amazon Leadership Award.
  • 2014-16 Consecutively for 3 years 'Outstanding Performer' of Mindtree.
  • 2014 '10/10' award for my commitment and dedication towards ensuring the quality of work.

Timeline

Data Engineer

Meta
03.2020 - Current

Senior Data Engineer

Amazon.com, Inc
08.2017 - 03.2020

Senior Data Analyst

Mindtree(Microsoft, Unilever)
02.2013 - 08.2017

B.E.(Hons.) - Electronics and Communication

RGPV University

Class XII -

MPBSE, India

Class X -

MPBSE, India

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