Roshan Sah

• Over 6+ years of hands-on experience as a Data Engineer and Analyst, adept at designing, implementing, and optimizing data solutions across diverse industries. • Comprehensive experience with AWS services, including Glue, Lambda, Kinesis, S3, Redshift, and EMR supplemented with Azure and GCP knowledge. • Skilled in establishing end-to-end ETL and ELT processes, data ingestion, transformation, and visualization, ensuring data integrity and reliability. • In-depth understanding of Big Data technologies including Spark, Hadoop, Hive, Kafka, and others, capable of managing TB/PB scale datasets. • Proficient in multiple programming languages including Python, SQL, Java, JavaScript, and more, enabling versatile data solution development. • Demonstrated ability to lead international teams on high-complexity, large-scale data projects, fostering collaboration and meeting project milestones. • Experienced in modernizing traditional data warehouses, with expertise in constructing Star and Snowflake schemas and transforming logical data models into dimensional ones using tools like Erwin. • Developed and integrated RESTful APIs for real-time data ingestion; expertise in leveraging tools like Apache Beam for data transformations. • Hands-on experience using Docker for server virtualization and Kubernetes for runtime management, promoting consistent and scalable deployments. • Proficient in employing Jenkins for CI/CD, ensuring efficient build, test, and deployment processes. • Adept at a wide array of tools and technologies such as Git, Bitbucket, Jenkins, Apache Airflow, ELK, and Sense, catering to various stages of data management. • Experience in ensuring data security with tools like AWS IAM and setting up row-level security in Redshift, prioritizing data privacy and compliance.