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Syed PashaSP
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Syed Pasha

@syedpasha3

Data Engineer at Infosys building GCP pipelines, including a streaming system processing 2M+ events daily.

India
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At Infosys Limited, I built a real-time supply chain analytics pipeline for Procter & Gamble using Pub/Sub, Dataflow, and BigQuery, processing 2M+ events per day. I also developed stored procedures for POS data analytics.

For Walmart, Target, and Amazon, I migrated an on-premise data warehouse to GCP, ingesting 5TB+ daily into BigQuery. I designed partitioned schemas that cut query costs by 45% and dashboard load times by 60%, and automated orchestration with Cloud Composer to reduce data latency from six hours to 30 minutes.

I also built a Python-based GCP onboarding pipeline that cut onboarding time from three weeks to four days. My work has included optimizing PostgreSQL ETL, automating data validation, and resolving production incidents across GCP infrastructure.

Experience

Work history, roles, and key accomplishments

IL
Current

Data Engineer

Dec 2021 - Present (4 years 10 months)

Built end-to-end streaming pipelines on GCP for P&G supply chain, processing 2M+ events/day. Migrated on-premise data warehouses to BigQuery for Walmart, Target, and Amazon, reducing query costs by 45% and dashboard load times by 60%.

Education

Degrees, certifications, and relevant coursework

CC

City Engineering College

Bachelor of Engineering, Electronics & Communication Engineering

2017 - 2021

Grade: 8.44/10

Pursued a Bachelor of Engineering in Electronics & Communication Engineering, achieving a GPA of 8.44 out of 10.

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