Tanmoy Mondal
Data Engineering Manager @Deloitte
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WORK HISTORY
Data Engineering Manager @Deloitte
EDUCATION
DAV Public school
CBSE
Jawaharlal Nehru Technological University
B.Tech, Aeronautical
SKILLS
ABOUT TANMOY MONDAL
Tanmoy is a seasoned Data Engineering Manager in Deloitte’s AIDE’s Cloud Data Engineering practice. He has over 14 years of experience working in large scale Finance Transformations, Post-merger Integration, and other Data Integration projects, predominantly for Asset Management.In his total consulting experience of 13+ years, has worked with Fortune 500 clients primarily focusing on design, delivery, and operations in the areas of big data platform modernization, advanced data analytics, digital automation.He has also led development of roadmaps and evangelization of strategic data, analytics and cognitive goals for clients along with helping them with decisions, tracking and realization of investment priorities. He has successfully managed and delivered various analytics and integration implementations (both on-premise and Cloud) with his cross-skilled experience and techno-functional skills.Tanmoy has solutioned enterprise wide Bigdata design and implementation projects hosted on various cloud platforms (Azure/AWS ), Cloud Migration, Business Intelligence, Data management, Data governance, Data Analysis. Primarily Tanmoy is leading the delivery from an end to end cloud based bigdata implementation standpoint, and overseeing the requirement gathering/analysis, design strategy, integration and streamlining of application layer across Ingestion/Validation/Transformation/Reporting modules. He has experience in coordinating with Program Leads, business SMEs, application owners, business users, data scientists and support owners to remediate/manage the requirement gaps, risk assessment, process set up and delivery.With rich designing and implementation experience in data engineering tools such as Azure/ADF/Databricks/AWS/Airflow/MapReduce/Spark/Pyspark/Scala/Python/Kafka/Hive/Sqoop/Oozie/Pig he has served his stakeholders well during various stages of their data modernization journey by delivering complex use cases involving semi/unstructural streaming/batch data sources and performance tuning aspects of Bigdata applications across onprem/AWS/Azure. Project Implementation experience in AZURE,ADF,DATABRICKS,PYSPARK,ADLS,AWS,EMR, EC2,S3, RDS, Glue, Lambda, Kinesis, Cloudera, IBM BigInsights, Hortonworks and Azure HDInsights.
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