Vijay Saruk

- Working on Simplify App Fabric Module using scala.

• Project Name - Ripple - United State
• Ripple is Crypto Currency, process data from GCP BigQuery to migrate data into Databrick.
• Experience in direct client interaction and Requirement gathering.
• Strong experience in Databrick, BigQuery and Cloud Storage in GCP .
• Experience in creating all DDL's and moving data into delta live tables in Databrick.
• Created Airflow for end to end process.
• Technology Stack - PySpark, Python.
• Services - BigQuery, Cloud Storage,AirFlow, Databrick's.

• Project Name - General Insurance - Hongkong.
• To process data from GIPSEA(DB Source) to build sales performance Dashboards using databricks.
• Experience in direct client interaction and Requirement gathering.
• Strong experience in Databricks, S3 and IAM in AWS, Bigquery, Dataproc and Cloud Storage in GCP and Snowflake.
• Experience in handling DP in snowflake and creating different StoredProc.
• Created Airflow for end to end process.
• Created tables in bigquery and storing data into cloud storage.
• Technology Stack - PySpark, Python.
• Services - Data Proc, BigQuery, Cloud Storage,AirFlow, AWS S3, Databrick's and Snowflake

• Project Name - Godrej Housing Finance.
• Experience in direct client interaction and Requirement gathering.
• Strong experience in AWS technologies like Glue, S3, IAm, Data Lake Formation, CloudWatch, RDS Postgres SQL.
• Creating scripts in Snowflake as per business flow
• Experience in DB ingestion in different layer and created workflow in Glue.
• Technology Stack - PySpark, Python
• Services - AWS Glue, AWS S3, AWS IAM, RDS, CloudWatch, Secret Manager, Snowflake,Databricks.

• Project Name - UK Data Migration
• This Project was telecom based project that migrating data and performing operations and storing data into final stage.
• Responsible for entire solutioning of data pipeline for the datalake.
• Applying the data operations on the staging Layer data using Pig, Spark and Hive HQL and storing the transformed data into the Datastore Layer.
• Finally all the Datastore Layer data moving into the Hive-Database Data warehouse using the HQL
• Performed data cleaning on unstructured information using various Hadoop tools.
• Technology Stack - Spark-Scala
• Big data tool used - Hive, Pig,Sqoop, Flume, Unix.