9+ years of experience as a Data Engineer, specializing in Big Data technologies and cloud platforms like AWS, GCP, and Azure.Expertise in GCP services such as BigQuery, Dataproc, Cloud Storage, Dataflow, Pub/Sub, and Cloud Composer, building efficient data pipelines for large-scale processing and real-time analytics.Skilled in AWS services including S3, Redshift, Glue, Lambda, EMR, and Kinesis, developing scalable cloud-native data architectures for real-time streaming and batch workflows.Experienced in Azure services like Data Lake, Synapse, Databricks, and Data Factory, ensuring seamless integration across multi-cloud environments.Proficient in the Hadoop ecosystem, using Hive, HDFS, MapReduce, Flume, Kafka, Spark, and Oozie for distributed data processing and storage.Specialized in designing ETL/ELT pipelines using Python, PySpark, SQL, Scala, and Kafka, enabling efficient batch and real-time data transformation.CI/CD pipeline automation expertise using tools like Jenkins, GitHub, Terraform, Docker, and Kubernetes, streamlining deployment processes in cloud-native and on-prem environments.Hands-on experience managing Cloudera and Hortonworks clusters, focusing on performance tuning, job scheduling, and troubleshooting.Extensive background in data warehousing solutions using Snowflake, AWS Redshift, and BigQuery, integrating both relational and NoSQL databases like MongoDB and Cassandra.Developed and optimized machine learning models using Python, Scikit-learn, and NLP, applying predictive analytics to drive business insights.Experience with data visualization tools such as Tableau, Power BI, and AWS QuickSight, creating interactive dashboards and reports to support data-driven decisions.Skilled in Unix/Linux environments, using shell scripting (Bash, Python) to automate tasks and ensure high availability of services.Strong background in data modeling techniques, including Star Schema, Snowflake Schema, and Slowly Changing Dimensions (SCD), optimizing data warehousing and reporting systems.Implemented disaster recovery (DR) and high availability (HA) solutions for databases like Oracle and Greenplum, ensuring data protection and minimal downtime.Adept in managing multi-cloud environments, ensuring smooth data integration across AWS, GCP, and Azure to optimize enterprise data workflows.Agile (Scrum) team player, collaborating with cross-functional teams to deliver high-quality, cloud-based data solutions within tight deadlines.