Testimonials
I had the wonderful opportunity to interact with Mr. Raju for career transition guidance, and I must say he was highly professional throughout the call. He patiently listened to everything I had to say, quickly understood my requirements, and provided a clear, customized learning path for myself that I feel confident about sticking to it. Moreover, he went above and beyond by offering additional insights into how the data domain works. He generously extended the call to answer my extra questions, which shows his commitment to helping others succeed. If you are really considering a transition into Data Engineering and need the right guidance, I highly recommend speaking with Mr. Raju. I am very confident about booking more calls with him in the near future for knowledge checks. Thank you so much, Mr. Raju, for your time and valuable guidance.
Raju clearly understood all my queries and given answers and suggestions. We had discussed beyond scheduled end time. Overall it's a insightful and helpful session.
Services
Priority DM . 2 days reply
Video meeting . 30 mins
5
Video meeting . 60 mins
Video meeting . 60 mins
5
Priority DM . 2 days reply
Video meeting . 60 mins
Video meeting . 60 mins
Video meeting . 60 mins
About me
With 12 years of expertise in analysis, design, development, testing and implementation of data engineering, data migration, ETL, data warehousing, data modelling, and Data Vault 2.0, I bring a wealth of experience to the table.
I have a deep experience in Snowflake services, including stages, time travel, fail safe, cloning, caching, clustering, data sharing, warehouses, materialized views, masking policies, and security and access control using roles.
One of my notable accomplishments includes creating a metadata-driven ingestion framework in Snowflake, enabling seamless data movement across zones while incorporating essential transformations. I have also leveraged Snowflake streams and tasks to efficiently capture change data capture (CDC) data.
My proficiency extends to Azure Databricks, where I have utilized PySpark and Spark SQL for data processing.
I have successfully handled batch data from data lakes and streaming data using Autoloader in Databricks. As an advocate of the lake house architecture, I have created Delta tables in all three layers, namely Bronze, Silver, and Gold.
Automation is another area of expertise for me. I have automated notebooks created in Databricks using job clusters, streamlining workflows, Delta Live Tables (DLT) and enhancing efficiency.
In the realm of Azure, I possess extensive experience in Azure ADF data movement activities, working with various file types such as CSV, Parquet, Avro, and JSON. I am well-versed in Azure ADF data transformations and control flow activities, crucial components for data engineering.
Additionally, I have gained valuable expertise in Azure Synapse Analytics, utilizing its massively parallel processing (MPP) architecture.
Throughout my career, I have been actively involved in requirements gathering, ETL specification writing, and preparation of design documents.
In the realm of data migration, I have performed preliminary assessments, analyzing source systems, table/file structures, and data type compatibility before migrating data from on-premises to the cloud using IICS (Informatica Intelligent Cloud Services).
My skill set extends to developing ETL mappings and related configuration tasks using Informatica Cloud, as well as creating IICS code for data extraction, transformation, and loading from various file formats such as CSV, Parquet, and Avro.
With my comprehensive skill set, industry experience, and a strong focus on delivering high-quality solutions, I am poised to tackle complex data challenges and drive successful outcomes for customers and organizations.