Rajathkumar Goud Danthoori Email & Phone Number

United Kingdom

- Spearheaded data ingestion strategies, seamlessly transferring raw data from AWS S3 to Azure Bronze level storage, ensuring optimal data integrity and accessibility.- Implemented PySpark workflows in Databricks to preprocess and filter incoming data, enhancing data quality and reliability while addressing anomalies and errors.- Orchestrated scheduled processes for daily data processing tasks, managing client data sourced from website pixels, and ensuring timely and accurate data processing.- Engineered data transformation processes to derive actionable insights from raw data, storing refined data in Azure Storage Explorer as deltas, facilitating efficient data analysis and visualization.- Collaborated closely with product engineers to understand data requirements and integrated processed data into Azure SQL Database, enabling streamlined data utilization for UI presentation.- Engineered SQL stored procedures to automate repetitive tasks and optimize data processing efficiency, improving workflow efficiency and reducing manual effort.- Developed and maintained user-defined functions (UDFs) tailored to client needs for visualization and analysis, enhancing data accessibility and supporting data-driven decision-making.- Proactively identified and resolved database and pipeline issues in real-time, ensuring uninterrupted data flow and optimizing system performance.- Leveraged a suite of tools including VSCode, Azure Data Explorer, Azure Storage Explorer, Amazon S3, Git, and Jira to streamline data engineering processes and foster collaboration across teams.- Demonstrated proficiency in client onboarding and offboarding processes, facilitating seamless integration of client data into existing pipelines and providing ongoing support as required.

Hyderabad Area, India

• Built Azure Data Factory pipelines, Databricks and data flows for cleaning the Edge data from the cloud and mapping the data into Power BI dashboard (DAX). Designed automated pipelines and deployed them to higher environments by using GitHub and DevOps. Implemented alerting system by using Azure logic apps.• Designing and implementing the data ingestion logic from an on-premises vendor system to cloud by using Azure Function apps, Python and SQL. Provided the data analysis, orchestration, and enrichment of data. Developed a Data alert system which reads an automatic email as per the schedule and reads the data that is loaded. Deployed the code to higher environments by using Azure DevOps• Developed data bricks notebooks with Delta Lake and parquet files, Data Factory pipelines for migrating data from on-prem/ ERP systems to cloud, BI Logic Implementations, designing OLAP models, developing Data Marts, Data Warehouse, Incremental loads and schedules of both structured and unstructured datasets.• Developed Data Bricks notebooks using Python, Spark, PySpark, SQL, Delta Lake for transformations, data ingestions, data modeling, data wrangling and automated testing for handling large and complex datasets. • Build and Maintain analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.• Collaborated with cross-functional teams to gather requirements, deliver robust data solutions, and provide data insights to stakeholders.

• Interpreted the data and analysed results using statistical techniques while providing ongoing reports.• Acquired data from primary or secondary data sources and maintained databases/data systems.• Created sources to target mappings and ETL design for the integration of new/modified data streams into the data warehouse.• Evaluated data file submissions and developed/maintained SSIS packages for ETL processes.• Developed, deployed, and monitored SSIS Packages.• Prepared dashboard to view data, built the user-friendly reports and dashboard for data analysis, and validated the data uploaded in database.

Hyderabad Area, India

Master Of Science, Data Science

Notable Modules Undertaken: • Fundamentals to Data science, • Computer Vision, • Nature Inspired Computation, • Social Network and Text.

Bachelor Of Engineering - Be, Electrical, Electronics And Communications Engineering