Data Engineer with nearly 3 years of expertise in designing, implementing, and optimizing data pipelines, ETL processes, and data warehousing solutions on AWS using Apache Spark and Python. Skilled in reducing data processing costs by 10% and enhancing data accessibility and usability by 20%. Proficient in cloud computing platforms and big data technologies. Collaborative team player with strong communication and problem-solving skills. Led the creation of a comprehensive ETL pipeline on AWS, orchestrated Lambda-driven workflow management, and achieved a 25% increase in data processing efficiency. Spearheaded the development of an agile data ingestion framework utilizing Python libraries and engineered over 20 custom connectors from scratch. Reduced development time for new data pipelines by 30% and conducted Proof of Concept testing for Fivetran connectors.