@dhruvishah2
Data Engineer at Motorola Solutions who migrated analytics projects to cloud platforms and cut ETL job execution time by 50%.
IndiaAt Motorola Solutions, I led the migration of analytics projects from on-premises systems to cloud platforms. I developed data engineering solutions for AT&T on Azure and for Verizon on Google Cloud.
Previously, I optimized ETL pipelines by migrating from Pig to PySpark, reducing job execution time by 50%. I also developed an Apache Spark KPI analytics pipeline and a one-click automation script for big data platform upgrades.
Work history, roles, and key accomplishments
Led data migration of Analytics projects from on-prem systems to cloud platforms, improving pipeline performance and scalability. Developed scalable data engineering solutions for AT&T and Verizon using Azure and GCP services.
Optimized ETL pipelines by migrating from Pig to PySpark, reducing job execution time by 50%. Developed Apache Spark-based KPI analytics pipelines for MCPTT performance metrics and automated Hadoop upgrades.
Designed and deployed scalable ETL data pipelines supporting over 70 microservices, achieving a 30% increase in data processing speed. Reduced disk usage by 60% and data errors by 40% through optimization and validation.
Laxicon Solutions
May 2021 - Jun 2021 (1 month)
Engineered and optimized library management modules using the Odoo framework and Python, improving database efficiency and system performance.
Degrees, certifications, and relevant coursework
Bachelor of Technology, Computer Engineering
2019 - 2023
Grade: 9.73/10
Pursued a Bachelor of Technology in Computer Engineering, achieving a CGPA of 9.73/10.
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