Siddharth Modak Email & Phone Number

 Cloud Enterprise Solution Architect with years of overall experience delivering enterprise level solutions using Azure Cloud computing globally across domains for different mission critical Application Migration projects, Advanced Analytics based applications with end 2 end designing architecture & developing solution on multiple services, understanding on Prem ETL needs and transforming the Cloud Data migration process. Extensively worked on Microsoft Cloud Digital Data Lake Platform proposal and Effort and Estimate models. Technology leader in architecting, designing by using Multi Cloud & Hybrid architecture AZURE & AWS for transitioning business & end 2 end architectural solution providing architectural thought leadership which led to acquire multiple deals. Experience on Building framework design model on Azure Cognitive Vision Service And Azure Machine Learning Visual Studio with Python for Self-Driven Automatic Car. Extensively worked on AWS Redshift ,Data Pipeline, Kinesis Firehose , RDS , DynamoDB , Cloud Formation & Lambda. Extensively worked on Data Migration (on prem > azure comprising: Storage -> Azure Data Lake Storage, Blob, SQL Azure Computation-> ADF, Azure Data Bricks , Azure Functions Analytics -> Synapse, ADLS Gen2, Azure Analysis Service, Azure Event Hub, IOT & Stream Analytics  Security -> Key Vault for Keys & certificate management. Multi layered application securities using WAF, Endpoints & Key Vaults. AI & Predictive analysis using ML Studio Mentoring and leading a team of 25+ professionals to unleash their full potential  Connected to On-prem through the virtual networking within Azure Specialized on Azure Event hub ,Azure Data Factory ,Azure ML Synapse Analytics , Logic App, AWS Redshift, Data Pipeline  Worked on Infra as Code AWS services like AWS Landing Zone, Service Catalog, Cloud Formation for Banking Clients. Extensively worked on multiple Big data ecosystem technologies like Hive, Kafka, Oozie, Sqoop, Spark with Python. Experienced on Data Analytics with Python, AWS BOTO3 for Lambda. Exposure in Predictive Modelling for useful insights and training data on both Supervised /Unsupervised machine learning. Developed Decision tree-C5.0/cart Model Performance metrics for regression problem using pandas, NumPy, matplotlib and scikit-learn. Implemented Version Controlling on AWS Cloud Git Lab CI/CD. 5+ years of experience in end 2 end ETL DWH Informatica PowerCenter 8.6.1/9.6.1/10.1 on Informatica development & admin. AZURE, AWS, BIG DATA Cloudera Certified

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  Kendriya Vidyalaya