⦿ Experienced Data Engineer with 3+ years in the field, proficient in a range of technologies including Big Data tools like AWS, S3, Hadoop, Hive, Spark, and Python.⦿ Skilled in all phases of Software Development Life Cycle (SDLC), with expertise in Agile and Waterfall methodologies.⦿ Proficient in Python development using Jupyter Notebook and PyCharm IDE.⦿ Well-versed in Hadoop ecosystem tools like Pig, Hive, HDFS, MapReduce, Sqoop, Storm, Spark, and Scala.⦿ Extensive experience with cloud platforms including Azure and AWS, as well as DevOps practices, configuration management, and CI/CD pipelines.⦿ Hands-on experience with Databricks for unified data analytics. Proficient in data analysis using Python libraries such as NumPy, Pandas, SciPy, Matplotlib, Seaborn, and Scikit-learn.⦿ Skilled in SQL, ETL processes, and business intelligence tools like SSIS/SSRS and Tableau.⦿ Familiarity with both relational SQL Server, MySQL and non-relational MongoDB databases.