Ganesh Guttula

Dedicated and skilled Azure Data Engineer with 2.4 years of hands-on experience in architecting, implementing, and optimizing end-to-end data solutions on the Microsoft Azure platform. Proficient in designing robust data pipelines, ensuring data quality, and leveraging advanced analytics to drive actionable insights. Seeking to contribute expertise in Azure technologies and data engineering best practices to a dynamic team, while continuously advancing skills and delivering impactful data-driven solutions. Detail-oriented Computer Systems Engineer committed to improving system design and operations for reliable workflow management. Researches and implements budget-conscious security and encryption solutions to protect user privacy and increase overall network health. Creates easy-to-follow guidelines and troubleshooting documentation for non-technical staff.

• AXA XL, 03/2020 - 04/2021, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Blob Storage, Monitoring the critical Jobs using Monitor in the ADF and communicate to target teams in case of delays., Acknowledge incidents and working on them and make sure to fix the issue with in SLA., Make sure end-to-end verification is done to verify files upload successfully and relevant tables got updated., Analyze the job failures to find out the root cause and providing solutions and make sure every jobs as per business., Starting the Triggers and Trigger pipelines in the ADF after every deployment., Preparation of status reports on weekly or monthly bases and present it to client in regular client meetings., Following up with Developers if there is any code change to the support jobs.
• Glaxo Smith Kline(gsk), 06/2021 - 12/2021, Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS), Azure Blob Storage, Designed and implemented end-to-end data pipelines on Azure Data Factory to extract, transform, and load (ETL) data from various sources into Azure SQL Data Warehouse., Acquisition of data from various sources such as Azure Blob Storage, Azure Data Lake Gen2, Azure SQL Database using Azure Data Factory., Perform Analyses on data quality and apply Business rules in all layers of data extraction transformation and loading process., Experience in creating wide range of pipelines using datasets, linked services and activities like copy, lookup, get metadata etc., Experience in Azure Data Bricks for data transformations and cleansing., Worked on Azure Data Bricks and integration it with ADF to execute the Notebooks using Notebook activity., Configuring corresponding automatic triggers to invoke various pipelines as per the schedules., Experience in data ingestion from multiple disparate sources like csv, txt, databases etc. into Azure Data Lake., Contributed to the creation of technical documentation and training materials to facilitate knowledge sharing within the team.
• M&G, 02/2022 - Present, Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS), Azure Blob Storage, Developed the ETL Pipelines in the Azure Data Factory to move data to different Azure services., Creating multiple Data sets, Linked services, Activities and Integration Runtime (IR) in Azure data factory., Applying Optimization techniques like avoiding data skewness, using broadcast variables, doing sanity checks for input data, partitioning techniques to improve the performance of clusters., Ability to understand the existing flows and implementing them in similar scenarios., Experience in Azure Data Bricks for data transformations and cleansing., Perform Analyses on data quality and apply Business rules in all layers of data extraction transformation and loading process., Trouble shoot any kind of data issues or validation issues., Gaining knowledge on Azure Synapse Analytics and Delta Lake.