Brahma Bhavanam

WORK HISTORY

EDUCATION

ABOUT BRAHMA BHAVANAM

More than 15 years of experience in Information Technology which includes experience in Data Engineering, Data modeling, Data migration, Data Cleansing, handling ETL tools, managing data in Data Warehousing, Data redundancy and deduplication, Cloud services, and strong Design, Software processes, Requirement gathering, Analysis, Development and Testing of software applications. • More than 13 years of experience in handling Data warehousing projects and 6 + years of experience in Cloud services and applications from AWS, GCP, and experience in DevOps. • Worked in migrating data to a wide variety of Cloud databases which include AWS Redshift, Aurora DB, Dynamo DB, GCP Bigquery, and Big Table, and handling data in file storage systems like AWS S3, EFS, Bigquery • Highly experienced in developing Data warehousing designs and datamarts using SQL concepts, Hive SQL, Python(Pandas, Numpy, Scipy), and PySpark to meet the needs of increasing volume of data. • Experience with CI/CD tools such as Git, bug tracking tool Jira and Jenkins to merge development with testing through pipelines. • Experience with creating Splunk reports, dashboards, and alerts. • Experience in event-driven and scheduled AWS Lambda functions to trigger events in various AWS resources. • Worked on BI tools like Tableau, QlikView, and Power BI to generate reports for business applications. • Good experience in writing and handling complex SQL to handle huge volumes of data. • Worked on projects which follow Agile methodologies and have very good in-depth knowledge of Agile practices Data Analytics Tools: Tableau 8/9.x - Tableau Desktop and Server, Cognos, Splunk, Qlikview ETL Tools: Informatica, Alteryx, Pentaho BI suite AWS Services: AWS S3, Glue, Kinesis, CloudWatch, lambda, EC2, ECS, SQS, SNS, Stepfunctions GCP Services: GCP Big-query, GCS, Composer, vertex AI, Composer, Looker Languages: JavaScript, Python, Shell scripting, Java, PL-SQL. Databases: DB2, PostgreSQL, Oracle Cloud databases: AWS Redshift, Aurora DB, DynamoDB, GCP Bigquery Cloud Storage: S3, Glacier, GCS Databases: Data warehouse Design, AWS Redshift, Aurora DB, Postgres, DB2, Oracle, RIAK, DynamoDB, MongoDB Others: Docker, Apache Airflow, Jenkins, Kubernetes, Git, Terraform, Splunk, Kafka, HP Service Manager, TrackIT Always open to learning new things, and technologies and always encourage new thoughts which will help me and also to the organization which I am working for.