Komal Bharat Dedhia

About Komal Bharat Dedhia

Experienced Senior Data Engineer with over 10+ years of hands-on expertise crafting and maintaining large-scale data infrastructure and analytical pipelines. Proficient in utilizing leading-edge technologies to convert raw data into actionable insights, fueling a DATA as a PRODUCT strategy for business expansion. Skilled in data infrastructure design, enterprise data modeling, and developing large-scale ETL pipelines, with a deep understanding of data governance, quality, and management. Collaborative team player adept at problem-solving, dedicated to optimizing data analytics workflows and performance. Committed to ongoing skill enhancement and staying abreast of industry trends to deliver innovative data solutions. Demonstrated ability to thrive in demanding environments through sound judgment, teamwork, and a resilient attitude.Industry Experience:• Retail• Automobile• Mortgage• Packaging & Supply• ClothingContact I••••••••@gmail.com

Experience

1. Senior Data Engineer

   Amazon

   May 2020 — Present · Seattle, WA, US

   AWS Data Platform: Redshift, EMR, S3, Glue, Lambda, Athena, DynamoDB, Kinesis, Step functionReporting tools : Tableau, AWS QuickSight• Collaborate with Product Managers, Finance, Software Engineering teams on day-to-day basis to support their new data requirements• Lead end-to-end data engineering projects from managing timelines, deliverables, and stakeholder alignment to collaborating with cross-functional teams to drive project execution, mitigate risks, and achieve desired outcomes• Lead mentorship initiatives, cultivate positive team culture, devise Data Engineering roadmap, Strategy and Operational Planning docs• Implement and maintain robust and scalable data flow solutions, enabling seamless integration of production systems with end-user applications and reports• Extract and process large volumes of structured and unstructured data from disparate source systems, including relational, non-relational, and NoSQL databases, as well as message streams, to perform complex analyses using AWS big data stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark/Scala, Athena etc.• Enable both technical and non-technical internal stakeholders to independently leverage analytics and reporting through self-service reporting capabilities, fostering autonomy and efficiency

Education

• University of Mumbai

  Bachelor of Engineering - Computer Engineering, Computers

  2011 — 2015

• Naveen Jindal School of Management, UT Dallas

  Master's degree, Information Technology and Management

  2016 — 2018

Skills

• Microsoft Office
• Leadership
• Microsoft Word
• Microsoft Excel
• Powerpoint
• Team Leadership
• Weka
• Html
• Management Consulting
• C
• Research
• Project Management
• Rational Rose Enterprise Edition
• Spss
• Management
• Strategic Planning
• Human Resources
• Information Technology
• Java
• Business Planning
• Data Analysis
• Public Speaking
• C++
• Spss Clementine
• Customer Service
• Javascript
• Teaching
• Ms Visio
• Sql
• Visio