A proactive and self-motivated Data Engineer with 6 years of strong track record of designing, building, and optimizing data pipelines in AWS cloud infrastructure. Skilled in creating scalable, high-performance, and cost-efficient data workflows, leveraging Python for data processing and visualization to handle complex, large-scale datasets seamlessly. Recently acquired expertise in Terraform to manage infrastructure as code, enhancing automation, scalability, and operational efficiency. Known for driving innovation and delivering reliable, optimized data solutions tailored to meet diverse industry needs.
Data Engineering
Project Planning
Problem-Solving
Communication
Stakeholder Management
ETL Pipelines
Data Workflow Optimization
Cloud Data Infrastructure Management
Data Framework Standardization
Python
SQL
AWS
Azure
Terraform
Apache Spark
PySpark
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