Testimonials
Can you please have a series of session on data engineering and snowflake. That snowflake 101 call helped.
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.
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.
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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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
- Pradosh Kumar – Mediumhttps://medium.com/@kumarpradosh
- Pradosh Kumar Jena - Portfoliohttps://kumarpradosh.github.io/
