I am a seasoned Data Engineer with over 8 years of experience specializing in building and managing end-to-end ETL data pipelines, working with the Big Data ecosystem, and solving scalability challenges. I have extensive hands-on expertise with technologies such as Hadoop, Spark, Kafka, AWS, and GCP, enabling me to design, implement, and optimize distributed systems for data processing.I have a strong background in data modeling, analysis, ingestion, and transformation, utilizing tools like AWS Glue, Redshift, EMR, and Snowflake for data warehousing and cloud-based solutions. My experience spans across building real-time streaming pipelines, managing data lakes, and implementing serverless architectures using AWS Lambda and other cloud services.With proficiency in Python, Scala, SQL, and NoSQL databases like MongoDB and Cassandra, I am dedicated to creating scalable data solutions that drive actionable insights. I am passionate about cloud technologies, machine learning, and continuously optimizing performance to meet evolving business needs.