Bharath N Email and Phone Number

Designed and implemented scalable data pipelines using GCP Data Flow and DataStream to process high-volume data efficiently. Managed large datasets in GCP Big Query and Big Table to support analytics. Developed ETL processes with Talend and Data Proc for GCS Buckets. Configured workflows with Airflow/Cloud Composer for automation. Utilized Pub/Sub for real-time streaming in healthcare applications. Implemented IAM policies for data protection. Optimized queries and performed unit testing for reliability. Developed data models for business intelligence. Integrated Cloud Functions for serverless computing. Designed disaster recovery with Cloud Spanner and Shell. Used Apache Beam for batch and stream processing. Visualized data with Power BI/Looker. Managed Kubernetes clusters and Docker containers. Streamlined ingestion with Sqoop and Cloud Data Transfer. Extracted and transformed data using Pyspark and Hadoop. Developed software with Java, Scala, and Python. Enhanced storage with HBase, HDFS, and Hive. Applied Agile methodologies and CI/CD tools. Engineered streaming with Kafka and Cloud Pub/Sub. Ensured data governance with GCP IAM.

Managed and optimized AWS EC2 instances and utilized Autoscaling for high availability and cost efficiency. Designed data storage solutions with AWS S3 and DynamoDB. Developed data pipelines using AWS Data Pipelines and Glue. Configured Microservices on AWS with Docker and Kubernetes. Wrote data processing jobs in Scala and Python, integrating with Spark and Databricks. Implemented CI/CD pipelines with Jenkins, Ansible, and Bamboo. Designed data flows with Talend for Snowflake integration. Optimized Hadoop ecosystem. Developed ETL processes with Hive, Impala, and Sqoop. Enhanced analytics with Elastic Search. Automated tasks with Shell Scripting. Managed PostgreSQL, MongoDB, and Cassandra.

Developed and maintained scalable data pipelines using ADF and Azure Databricks. Managed large-scale data storage in Azure Data Lake, ensuring efficient data accessibility. Utilized Azure SQL and Azure SQL MI for database management, enhancing query performance. Configured Azure Function App and WebApp for streamlined application integration. Implemented real-time data processing using Kafka and Azure Event Hubs. Administered Cosmos DB for NoSQL solutions. Automated tasks with Python and C#, managed version control with Git, and implemented CI/CD pipelines using Azure DevOps.

Developed and maintained ETL processes with Informatica 6.1, ensuring seamless data integration. Utilized Data Flux for data quality management, enhancing data accuracy. Created complex SQL queries for insights from Oracle 9i and Teradata. Analyzed data with TOAD and PL/SQL, identified trends, and supported decision-making. Collaborated with stakeholders to align data strategies, generated reports with Quality Center 7.2, and implemented data models for accessibility. Ensured data integrity, compliance, and performance optimization. Mentored team members on ETL, SQL, and data quality best practices.