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4.1/5
14 ratings
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Testimonials
5/5
Can you please have a series of session on data engineering and snowflake. That snowflake 101 call helped.
Raman
17th Sep, 2025
5/5
Pradosh gave me a clear and strategic explanation of how to apply GenAI in data engineering. He discussed how can I ramp up on AWS and snowflake to have a better chance. He didn't just discuss tools; he articulated a complete vision for optimizing data pipelines and extracting insights from our data using agents.I am looking forward to his GenAI series.
Sarthak
17th Sep, 2025
5/5
Pradosh guided me through building real-world projects that bridged the gap. He helped me translate my QA experience into tangible data pipelines, giving me the confidence and portfolio I needed to land my first data engineering role. The path He laid out was practical and highly effective. Thanks for the help.
Sarth
17th Sep, 2025
5/5
Pradosh is an exceptional mentor for anyone diving into Generative AI and Data Analytics. I came to him with a barrage of question , some of them repetitive, and they answered every single one with incredible patience and clarity. His explanations are not only thorough but are also delivered in a way that is easy to understand, even for complex topics. Highly recommend for anyone with doubts or looking for a deeper understanding
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17th Sep, 2025

About me

- Worked as an architect on Fortune 500 companies eg : Oracle , Caterpillar, Thomson Reuters, Deloitte and Publicis Sapient in multiple technical and leadership roles - Solid experience in architecting, building and optimizing enterprise data platforms using Big Data technology, Generative AI ,Analytics products & solutions on large scale enterprise data systems both on-premise and cloud platforms as a Big Data and Cloud Data Architect - Experience in Langchain,Bedrock,OpenAI,Chatbot - Experienced in AWS Glue, Lambda, AWS Cloud Formation, S3, CodeCommit ,GCP Big query, Google Cloud DataProc , PySpark , Delta Lake , Hive , Pig , Sqoop , SQL , Python , AWS DMS, HDFS , Hive , Athena -Worked on Data critical client POCs on Azure Databricks and Delta Lake as a Data Engineer - Certifications in Azure and AWS - Have done freelancing and given training on cloud and Big Data as an Data Engineer - Strong hands-on experience in end-to-end data engineering project , and leading large & complex programs to its successful execution in building distributed data pipelines in gcp and aws cloud using various services in both the stack. - Thorough understanding of big data technologies like Spark, M/R, Hive,Pig, Tez, Impala, NoSQL HBase in both Cloudera and Horton works distribution -Implementing analytics project in AWS in CI/CD architecture by using code pipeline,codecommit and cloudformation - Implemented Machine learning framework for Text and Predictive analytics using various Machine learning tools such as R, Python and it’s integration with Hadoop and Spark MLib. - Experience in Exploratory Data Analysis ,Experience into model building using Random Forest, Logistic Regression, SVM - Ability to communicate analytical results in a way that is meaningful for business stakeholders and provide actionable insights. Have executed various projects from Proof of Concept on cloud platform