Proficient Data Engineer with over 5 years of experience, have designed, implemented, and optimized end-to-end data solutions across various cloud platforms like Azure and AWS, Working with diverse databases such as MySQL, PostgreSQL, MongoDB, and T-SQL. My expertise in data migration and high-availability solutions, with a strong command of big data technologies like Apache Spark, Hadoop, and Airflow for large-scale data processing and analytics. Utilized Python, SQL, and Scala and leveraged tools like NumPy, Pandas, Matplotlib, and Scikit-learn for effective data manipulation and analysis, while designing and maintaining ETL pipelines using AWS Glue, Apache Spark, Azure Data Factory, and Snowflake for streamlined data movement.Furthermore, my proficiency extends to managing databases efficiently to ensure optimal data storage and retrieval while creating visually compelling reports and dashboards using Tableau, Power BI, and Advanced Excel to enable data-driven decision-making. I am well-versed in utilizing a range of Integrated Development Environments (IDEs) such as Visual Studio Code, PyCharm, and Jupyter Notebook, coupled with strong version control skills using GitHub. With involvement in the full Software Development Life Cycle (SDLC), from business requirements analysis to deployment, I bring a holistic approach to data engineering, ensuring that solutions are not only technically robust but also aligned with organizational goals and objectives.