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I am a Data Engineer with 4+ years of experience building scalable data pipelines and cloud-based ETL solutions using Python, SQL, AWS, and Spark. I optimized workflows, automated data ingestion, and led analytics projects that improved performance and decision-making. I hold a Master’s in Business Intelligence & Analytics (GPA: 3.94) from Stevens Institute and am certified in Azure Data Engineering.
I’m passionate about driving data-driven strategies and would love to bring my skills to your Company . I look forward to the opportunity to contribute to your team.
Data Engineer with 4 years of experience in data solution design, development, and implementation. Skilled in Python, SQL, and R with expertise in Big Data tools like Hadoop, Spark, and Hive for efficient data processing. Proficient in ETL tools such as Apache Airflow & Talend, Snowflake for Data warehousing, and experienced with cloud platforms like AWS and Azure.
Adept in using data science libraries (e.g., NumPy, Pandas, Scikit-learn) for analysis and machine learning. Strong in data visualization with Tableau, Power BI, and SSRS, and experienced in managing databases like SQL Server, PostgreSQL, and MongoDB.
Master of Science, Business Intelligence & Analytics |Provost Scholarship Award (GPA-3.94)
Stevens Institute of Technology, School of Business
