Uday Mandal Email and Phone Number

Over 20 years of IT experience with the focus on e2e architecture solution design, build, implementation, optimization, on-premises to cloud migration & modernization of data projects with technology transformation and acceleration. Extensive leadership experienced with specialization in complex bigdata engineering for large-scale data systems. Leading and managing enterprise data domain including AI-based analytics. Specialized in client mentoring and consulting by providing a wide range technical and solution supports throughout the end-to-end project lifecycle for both AD and AMS work engagements. I have successfully led multiple teams and delivered multiple complex projects on time while ensuring high customer satisfaction rates. Throughout my career, I've maintained secure, scalable, high-performing data solutions tailored to various industries' unique requirements. Specifically, I possess extensive knowledge of major bigdata ecosystems, AI, Data Lake, Delta Lake, Lakehouse, DWH/BI, and their implementation within different sectors like Telecom, Chemical & Petroleum, Industrial, etc. Furthermore, I am experienced in implementing cutting-edge data and GenAI solutions utilizing IBM's Watsonx platform also. Experienced on Center of Excellence data management and leading the technology-based Industry standard solutions across the heterogeneous ecosystem with the core focus on the enterprise architecture level data domain and its services including data design mapping, governances and best practices for proposal, bid and end to end implementation. Strong 6+ years of on-premises to cloud migration experiences from solutioning, end to end implementation and technical leading migration. Certified Azure Solution Architect from Microsoft with specialty of data & ai services. Extensive experiences on multiple technologies with hands-on expertise, examples - Cloudera Hadoop with Kafka, Hive, Sqoop, HBase, Maven, etc. + Spark (Python/Scala) for 10+ years; Databricks including notebooks, iceberg, Lakehouse, etc for 5+ years; Azure data services environment like Confluent Kafka, ADLS Gen2, Databricks, ADF, HDInsight, CDC IIDR, EventHub, AZ SQL DB, etc for 5.5+ years. Also experienced with AWS cloud like EMR, S3, Databricks, etc for 1+ years; IBM cloud like BigInsights, Presto, cloud pack for data, WatsonX data Lakehouse and ai for 9+ months;