Vimal Dharmalingam

. Experience summary, Design and Implementation of Data Lake for cost efficiency and optimizing performance of Data lake resources • Handling and responsible for Petabytes Level Data lake • Responsible for all clients/ Stackholders, to maintaining the data pipelines • Write Dataflow pipeline using inbuilt spaghetti framework template for data ingestion from pub Pub-Sub to Big Query • Good Experience in GCP data architecture (working with GCP support team to build the robust solution for Petabyte data

• Creating Data Lake to hold ingested raw data from streaming device • Leading/Guiding Data team which is responsible for Digital Business Analytics platform and Cloud Data migration projects • Create Big Query tables for holding various state of data using ETL processes • Providing solution for data security including Data Lineage and Data Governance and MDM Data Extraction from (20 plus) unstructured/Structured sources to integrate into GCP/AWS Data lake using Pub/Sub Subscriptions and Kafka streaming

• Design and Implementation of Data Lake Data Archival for cost efficiency and optimizing performance of Data lake • Data integration between different databases like SQL, Oracle, Redshift to create aggregates tables and Analytics solutions for a business stockholder • Deploying Cloud Functions using python languages to transform raw data into desired format & event driven tasks • Dataflow and Cloud Composer to build analytics pipeline in Google Cloud • Reporting: Using POWERBI for data visualization

• Worked as a python and SQL Data Engineer • PL/SQL Development and Implementation • Involved in writing complex Oracle SQL Queries to implement business requirements • Responsible for writing store procedure, functions, packages, trigger, collections • Report Scheduler delivers reports directly to management in various report formats • They can be scheduled to arrive daily, weekly, monthly, quarterly, or annually