Solomon Geddam

Business Intelligence Engineer @Amazon || 7+ YOE in Spark, SQL, Python, Tableau, AWS || Ex Data Engineer @Walmart || Building Insightful, Scalable Data Products

Role
Business Intelligence Engineer Ii at Amazon
Location
Bellevue, WA, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Solomon Geddam

I am a data engineer and data-driven problem solver with over 10 years in the computer science field, including 7+ years architecting large-scale, high-performance data systems at companies like Amazon and Walmart.My expertise lies in designing robust ETL pipelines, real-time data solutions, and predictive analytics that drive measurable impact, ranging from $4.8M in cost savings to reducing processing times by 96%. I am fluent in Python, SQL, Spark, Hive, Kafka, Databricks, Tableau, and work extensively across cloud platforms like AWS and Azure.I build intelligent systems that scale—whether it’s creating a GenAI-powered chatbot that saves 100+ hours weekly or enabling reverse logistics pipelines that reduce daily transportation by 1,200 miles. I thrive in fast-paced, cross-functional environments where data is key to decision-making.Tools I live in: Python (Pandas, NumPy, SciPy)| SQL | Spark | Hive | Kafka AWS (Glue, S3, Lambda, Redshift)| Azure Tableau | Power BI | QuickSight Git | Jupyter | Airflow | DockerI am passionate about systems thinking, automation, and data products that bridge the gap between business and engineering.

Experience

  1. Business Intelligence Engineer Ii

    Amazon

    Aug 2022 — Present · Bellevue, WA, US

    Helping Leadership make strategic decisions that saved over $6M and counting within Amazon Logistics- Engineered Day-0 pipeline to track failed facility moves, leveraging AWS services, enabling real-time KPI visibility for leadership; achieved 52% reduction in failed facility moves and $4.8M in cost savings- Designed a scalable data pipeline for reverse logistics (return packages), enabling strategic decision-making and driving $540K in annual transportation savings, 1,200 miles/day reduction in travel, and faster return processing cycles- Led my organization in a 4-org Amazon Operations initiative to design and build a centralized data pipeline, identifying refund root causes; drove cross-organizational accountability, reducing refunds by 5.7% and saving $1.3M in 7 months- Constructed 11 dashboards (performance, analytical, operational) to track critical KPIs, enabling data-driven decision-making across stakeholder groups and contributing to organizational growth- Led re-engineering of hundreds of ETL jobs to reduce cluster load, enabling resource scale-down and driving $160K in annual cost savings- Replaced a manual SharePoint process with an internal audit tool and end-to-end ETL pipeline, enabling real-time data flow into the warehouse; increased audits by 150%, uncovered new defects, and reduced seller calls by 9%- Designed a one-stop interactive dashboard for seller performance metrics, adopted by 600+ users, enabling data-driven decisions, including one that prevented $2M+ in GMS loss by helping sellers avoid enforcement actions.

Education

  • Pace University

    Master’s Degree, Computer Science

    2017 — 2018

  • Amity University

    Bachelor of Technology, Computer Science

    2012 — 2016

Skills

  • Football
  • Java
  • Php
  • C#
  • Css
  • Jquery
  • Sql
  • Asp.net
  • C++
  • Html
  • Python
  • Javascript
  • Microsoft Office
  • C

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Solomon Geddam — Business Intelligence Engineer Ii at Amazon in Bellevue, WA, US | Unifers