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4.6/5
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Testimonials
5/5
The session was really insightful. Got clear understanding on what I have to do and follow for career transition.
5/5
He heard all the questions very calmly and answered all my doubts very clearly & politely. His knowledge is very deep in Data Engineering. Thank you for mentoring.
5/5
He provided invaluable advice and offered clear, actionable insights and tailored guidance that addressed my specific goals and challenges. I highly recommend him for anyone seeking expert data engineer help.
5/5
Sai Krishna is not only knowledgeable in his domain, but he is also an amazing human being. He listens patiently and goes the extra mile to help you reach your goals. I wholeheartedly recommend Sai Krishna to anyone looking for a mentor to break into data engineering.
5/5
Sai Krishna has an excellent grasp of data engineering concepts and provided clear, insightful answers to all my questions. He was patient, thorough, and ensured I fully understood each topic. His expertise and willingness to help made our session extremely valuable. Highly recommend him for anyone looking for guidance in data engineering!
5/5
It's wonderful talking to you Sai. You very well explained and cleared my doubts. I have a better understanding now on Azure and it's services. Thank you for your time.
5/5
I was planning for career transition but was doubtful about Data Engineering path as well as requirements. But with Sai Krishna session, he suggested what to do and how to approach. I got the complete roadmap of how to proceed with the journey. I am going to follow the same. I appreciate the time and effort. Thank you for your guidance and support is really helpful.
5/5
Hey Sai, it's wonderful talking to you. It gives a sense of confidence to any new comer out there looking for help when he needs most. Your expereience in real world and sense of sharing the things to help others attain same level of experience to is commendable. Keep going!!!

About me

• Having 8+ Years of Total Experience in Microsoft SQL Server and MSBI tools and 6 Years of Experience in Leveraging complete Azure Cloud features in migrating on prem systems systems to cloud • Hands-on experience in Building and maintaining multiple dimensions/facts in azure data bricks and publishing the result set in Azure Synapse DW. • Hands-on experience in Building Data Ingestion framework (Metadata driven), to read from different sources to ADLS gen2 using ADF as the orchestration and data bricks for Computation. • Hands-on experience in Requirement gathering, Designing, Development of all the respective entities in Azure Synapse DW and azure gen2 storage accounts. • Experience in Developing CDM solution which is a provisioning platform for the customer facing applications (E2E cloud implementation) • Experience in developing medium complex to complex MS SQL/ Azure SQL logics by making use of all the SQL objects and T-SQL programming. • Hands-on experience in implementing moderate to complex ETL/ ELT work flows by utilizing Azure Data Factory Activities and Data Flows • Hands on Experience in Azure Data Lake Storage to store the different file formats and transformed them Using Azure Data Lake Analytics Account by Running U-SQL Scripts/Jobs. • Hands-on experience in creating, configuring, and deploying SSIS(ETL) packages. • Hands on experience with Tibco EBX, an MDM tool for managing customer data along with application user and permission models • Experience in migrating on prem SQL server (OLTP and DWH) systems and workloads to cloud • Having good knowledge on Tibco EBX integration with Web services and Pu/Sub Model (Azure Service Bus) • Having complete knowledge on azure DevOps CI/CD process Page 2 of 6 • Very good knowledge in real-time and batch-based models to serve the client facing application needs through EBX and cloud features. • Very good knowledge in building canonical based applications on cloud Azure (end to end) right from the ingestion and till outbound to exchange the data to the consumable platforms. • Involved in designing canonical model applications like CDM (Customer Data Management) on Azure right from the data pipelines till using Web jobs • Implemented best practices for Environmental Strategies and DevOps process adaptation