Experienced professional with over 3+ years of experience in designing, developing, testing, implementing, and maintaining Data Warehousing Systems and Business Intelligence applications across diverse platforms and industries. Proficient in working with GCP services such as BigQuery, Cloud Pub/Sub, Dataflow, Cloud Composer, Cloud Storage, Cloud Functions, Cloud Bigtable, Cloud Dataproc, and IAM roles and policies. Skilled in working with AWS services including S3, Redshift, EMR, Glue, Data Pipeline, Step Functions, CloudWatch, SNS, and CloudFormation. Expertise in building ETL and ELT data pipelines using Databricks and AWS Glue. Hands-on experience in real-time data streaming solutions using Apache Spark. Strong scripting skills in Python, Linux, and UNIX Shell. Proficient in data migration, transformation, and integration. Knowledgeable in data modeling concepts such as Star-Schema Modeling, Snowflake Schema Modeling, and Fact and Dimension tables. Adheres to best practices for Data Warehousing, Data Lake, and Lake House methodologies. Familiar with Metadata and repositories within a disciplined lifecycle methodology. Adaptable team player with the ability to tackle Big Data challenges in both on-premises and cloud environments. Experienced in working with Agile and Scrum methodologies, proficient in Agile methodologies, and skilled in using Jira for managing sprints and issue tracking.