Designed and implemented AWS-based data pipelines, managed cloud environments with VPC, IAM, and Load Balancers, and optimized data processing using RedShift, DynamoDB, and MongoDB. Automated deployments with Jenkins, CodeDeploy, and Ansible, engineered real-time data solutions with AWS Lambda and API Gateway, and oversaw large-scale migrations to S3 and Snowflake also enhanced performance with Hadoop, PySpark, and Hive, integrated ElasticSearch for analytics, and ensured robust security with AWS IAM. Additionally led CI/CD pipeline development, managed containerized applications with Docker and ECS, and monitored systems using Datadog, CloudWatch, and SNS.

Built data storage solutions using GCP BigQuery and Snowflake, and created data pipelines with GCP Cloud Dataflow and Apache Beam. Automated data transfers between systems and set up real-time data analytics, helping the business make quicker decisions. Managed GCP cloud environments using tools like GCS Bucket and Cloud SQL. Additionally, Handled data processing with Python and Sqoop, improved the speed of database queries, and automated workflows using Spark and Scala. also integrated Salesforce data, designed Power BI dashboards, and maintained data lakes while ensuring data security.

I had engineered and optimized data workflows using GCP Dataflow and Google Dataflow, developed scalable data warehousing solutions with BigQuery and Snowflake, and implemented real-time processing with Cloud Pub/Sub. I managed large-scale data transfers, automated ETL pipelines using PySpark, and configured secure cloud environments with IAM Security. And also used GCP Databricks for analytics and machine learning, performed federated queries, and created Power BI dashboards. Additionally, orchestrated data processing with Cloud Composer, optimized data management with Hadoop, and led cross-functional teams to deploy data solutions.

Here processes to extract data using Informatica and PL/SQL, helping to move data from Oracle and Teradata to where it could be analyzed. Cleaned and prepared this data using Python, created complex SQL queries, and made dashboards in Tableau and Power BI to show important information clearly. And also used R, SAS, and SPSS for advanced data analysis, optimized data storage with Hadoop, and automated tasks using Python scripts. Plus, managed project workflows with Jira and provided reports to help guide business decisions.