Committed job seeker with a history of meeting company needs with consistent and organized practices. Skilled in working under pressure and adapting to new situations and challenges to best enhance the organizational brand. A proven track record of working in a fast-paced environment with experience of 5+ years of working on GCP.
Description: Project was related migrate the process of tokenization from On-prem system to Google Cloud.
Technologies used in project: BigQuery, Composer, Cloud Storage, Control-M, Pub-Sub, Bigtable, Dataflow, Cloud SQL, PySpark.
Description: Extract and load all the sales data which provides live tracking of the orders. Project was set up to have daily, weekly and monthly analysis reports.
Technology used in project: Dataflow, Cloud Storage, Cloud SQL, Pubsub, BigQuery, Composer.
Processing
(Spark, Apache Beam, Kubernetes)
Storage/Databases
(Bigquery, CloudSQL, Bigtable, MySQL)
Scheduler
(Crontab, Airflow, Control-M)
Language
(Python, SQL, Scala, Shell Scripting)
Cloud Platform
(Google Cloud)
Others
(Cloud Run, Cloud Function, Cloud compute-engine, Cloud app-engine, Cloud Shell)
SQL, Python, Shell Script
GCP, Dataflow, Composer, Bigquery, PubSub, Bigtable
Linux, Windows, MySQL