More than 15 years of experience in Technical, Solutioning, and Analytical roles.
5+ years of experience in building and managing Data Lakes, Data Warehouse, Data Integration, Data Migration and Busines Intelligence/Artificial Intelligence solutions on Cloud (GCP/AWS/Azure)
Ability to understand business requirements, translate them into functional and non-functional areas, define non-functional boundaries in terms of Availability, Scalability, Performance, Security, Resilience etc.
Experience in architecting, designing, and implementing end to end data pipelines and data integration solutions for diverse structured and unstructured data sources and targets.
Experience of having worked in distributed computing and enterprise settings like Hadoop, GCP/AWS/Azure Cloud.
Well versed with various Data Integration, and ETL technologies on Cloud like Spark, Pyspark/Scala, Dataflow, DataProc, EMR, etc. on various Cloud.
Experience of having worked with traditional ETL tools like Informatica / DataStage / OWB / Talend , etc.




Deep knowledge of one or more Cloud and On-Premise Databases like Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server, etc.
Exposure to any of the No-SQL databases like Mongo dB, CouchDB, Cassandra, Graph dB, etc.
Experience in architecting and designing scalable data warehouse solutions on cloud on Big Query or Redshift.
Experience in having worked on one or more data integration, storage, and data pipeline toolsets like S3, Cloud Storage, Athena, Glue, Sqoop, Flume, Hive, Kafka, Pub-Sub, Kinesis, Dataflow, DataProc, Airflow, Composer, Spark SQL, Presto, EMRFS, etc.
Preferred experience of having worked on Machine Learning Frameworks like TensorFlow, Pytorch, etc.
Valuable understanding of Cloud solutions for Iaas, PaaS, SaaS, Containers and Microservices Architecture and Design.
Ability to compare products and tools across technology stacks on Google, AWS, and Azure Cloud.
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📌 Architect De Mumbai (India)
🏢 Quantiphi Analytics Solutions
📍 India