About
Results-driven Data Engineer with 2.6+ years of experience in designing and optimizing ETL pipelines, scalable data warehouses, and cloud-based data solutions for global banking clients. Skilled in Python, PySpark, SQL, Hive, Hadoop and Azure, with a proven record of reducing data processing time by up to 30%. Recognized for automation, improving data quality, and enabling faster, more reliable insights.
Skills & Expertise (18)
Work Experience
IT Analyst
Capgemini
Feb 2022 - Present
Engineered and automated ETL pipelines transferring 2+ TB of data daily, reducing data availability time by 30%. Built data pipeline running for regulatory reporting project on Cloudera’s CDP environment. Implemented data masking & encryption for 100% compliance with GDPR & PCI. Optimized Hive and PySpark jobs, cutting runtimes by 25%. Developed and orchestrated 100+ Control-M workflows, saving 8+ hours of weekly operations. Collaborated with analysts to convert mapping documents into robust data models aligned with KPIs. Worked on HDFS, Yarn, Putty and other big data tools and have expertise in maintaining legacy system. Enhanced release stability via CI/CD with Azure DevOps & Git. Worked on big data tools such as Hadoop, hive, pyspark, sql, Azure devops, Control-m etc.
Project Lead
Capgemini
Aug 2022 - Jun 2023
Led front-end development of a web application built on the Django framework, showcasing expertise in Python and Bootstrap. Utilized Django templates and Python libraries (Pandas, NumPy) for efficient data manipulation. Engineered responsive, intuitive user interfaces optimized for performance across devices and screen sizes. Collaborated with backend developers and designers to integrate front-end components with the Django backend, ensuring seamless project workflow.
Education
B.Tech – Information Technology - Future Institute of Engineering & Management
2015 - 2019 · Afghanistan
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