🔹SUMMARY :Highly skilled and innovative AWS Data Engineer passionate about transforming raw datainto valuable insights. Possessing a solid background in ETL pipeline developmentand optimization, data modeling. Experienced in data transformation, anddata quality management. Adept at collaborating with cross-functional teams andclients to understand data requirements and deliver impactful solutions. Seekingan opportunity to contribute to a dynamic organization's data-driven success.🔷TECHNICAL SKILLS :🔹PROGRAMMING LANGUAGESPython🔹DATABASESOracle, MySQL🔹BIG DATA FRAMEWORKSHadoop, Hive, Spark, Airflow🔹AWS SERVICESS3, Glue, Athena, Redshift , EMR, SQS, EC2, IAM, RDS🔷PROJECT ROLE AND RESPONSIBILITIES :🔹Develop and maintain data pipelines for transformation, and loading processes🔹 Cleanse, validate, and transform data to ensure data quality and consistency.🔹Load data into storage systems or data warehouses using ETL processes.🔹Implement data transformation processes using SQL, PySpark.🔹Monitor and troubleshoot data integration and ETL processes, resolving any issues or errors.🔹Ensure data quality and integrity by implementing data validation and quality control processes🔹Collaborate with data scientists, analysts, and business stakeholders to understand data requirements🔹Provide technical guidance and support to team members and stakeholders.