Harsha Rachumallu
Data Engineering Manager at EY | Private Equity, M&A | Bridging Gap Between Raw Data and Strategic Decision-Making
- Role
- Manager at EY
- Location
- Raleigh, NC, US
- LinkedIn followers
- 500 followers
About Harsha Rachumallu
10 years of experience with most time spent resolving Data Engineering problems for clients in various industries, with a Master’s Degree focused in Data Analytics. M&A experience of ~6 years with solving FPA problems of PE industry enabling M&A capabilitiesSkill Set:Data Cloud : Azure SQL, Google Big Query, Databricks, Snowflake Azure Cloud : Azure Data Catalog, Embedded Power Bi, Azure Data Lake, Azure Data Lake Analytics, Azure Data Factory, Azure Batch Service, Azure Data Factory, Azure Synapse, Azure FunctionsVisualization Tools : D3.js, Chart.js, Power BI, Tableau Databases: Microsoft SQL Server, Azure SQL, Oracle, PostgresData Pre-Processing : Data Bricks, Alteryx, SSISBuilt a data model in Power Bi that handles ~4Bn records from Google Cloud and refreshes both intraday as well as dailyConceptualized a data migration roadmap and strategy to migrate ~60 TB of data from Teradata to Databricks
Experience
Manager
Aug 2022 — Present · Raleigh, NC, US
In my capacity as a Cloud and Data Engineer, I am entrusted with the core responsibility of collaborating with clients to facilitate the implementation and design of applications on the Cloud Platform. My expertise is concentrated in the domains of data engineering, storage solutions, and analytics strategies. Throughout my career, I have successfully overseen and executed a diverse array of IT advisory projects, encompassing areas such as data warehousing, high-volume data processing, and the development of Big Data applications. Furthermore, I have contributed extensively to the creation of sophisticated algorithms, workflows, tailored dashboards, visualizations, and bespoke analytics tools.Project Experience: • Contributed to the conceptualization of a data migration roadmap and strategy to migrate ~60 TB of data from Teradata to Databricks for a client in entertainment industry • Implemented a petabyte-scale data lake and warehouse solution using Azure Data Lake, Azure Data Lake Analytics, Azure HDInsight for a pharmaceutical client that is optimized for real-time analytics and speed. • Developed a data model for a retail client in Power Bi that handles ~4Bn records from Google Cloud and refreshes both intraday as well as daily • Led a team of 4 to understand business processes, variable data subjects, master data, technical activities and identify pertinent software for standard report generation as well as ad-hoc analysis for a retail client • Developed an ETL pipeline using Azure Data Factory and Azure SSIS integration runtime for a transportation client by migrating existing SSIS packages to work with cloud Azure SQL and thus reducing process time by 70%. • Engineered an automated data engineering pipeline using Azure Data factory, Azure Storage Account, Azure Databricks, Azure Function, Cosmos DB, Azure batch account and Rest API for a retail client
Education
Bowling Green State University
Master’s Degree, Data Analytics
2015 — 2016
Bapatla Engineering College
Bachelor of Technology (B.Tech.), Information Technology
2007 — 2011
Skills
- Junit
- Jms
- Agile Methodologies
- Jira
- Jenkins
- Databases
- Release Management
- Web Services
- Sas E-Miner
- C++
- Mapreduce
- Javascript
- Jsp
- Jsf
- Unix
- Apache Spark
- Core Java
- Jboss Application Server
- Shell Scripting
- Alteryx
- Sonar
- Spring Framework
- Java
- Spring
- Software Deployment
- Hadoop
- Scrum
- Sql
- Webmethods
- Hibernate
- Java Enterprise Edition
- Pl/Sql
- R
- Maven
- Subversion
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