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Senior Data Engineer with 7+ years in Data Warehousing & ETL using Talend and Qlik.
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Having around 7 years of total experience in Data Warehouse Applications using ETL Tool Talend Data Integration and payments application, also as risk analyst. Worked on Talend to import data from various Sources, transformed and loaded into Data Warehouse Targets using Talend. I have worked on Qlik Replicate and Visual studio. Experience in Extraction, Transformation and Loading (ETL) data from various sources into Data Warehouses using Talend Data Integration (Project Setup, Job designs, Context variables, Components and Job exports).
Swarnandhra institute of engineering technology
B Tech
August 1, 2016 – June 30, 2016
Sasi Junior College
Intermediate
June 1, 2012 – May 31, 2012
Sasi E.M School
SSC
June 1, 2010 – May 31, 2010
Tata Consultancy services(TCS)
Senior Developer
March 22, 2021 – Present
India
Cognizant Technology Solutions India Pvt. Ltd.
Senior Developer
May 27, 2019 – March 12, 2021
India
Wipro Limited
Senior Associate
December 11, 2017 – March 7, 2019
India
DataHub Build
March 22, 2021 – June 1, 2026
The scope of DataHub project is to study the existing Datawarehouse system to increase the performance of existing Datawarehouse systems to generate performant analytical reports using latest industrial technology from the identified sources into the Target System. New DataHub system should - integrate with responsive and interactive User Interfaces to generate on demand reports. Current Datawarehouse is developed using MS SQLServer database and SSIS as ETL tool, scope of project is migrating create new DataHub in Orcale SQL and migrate data from different sources using Talend mappings as ETL to create report marts. These report marts are exposed to analytical site.
Connector2.0(Datamart)
May 27, 2019 – March 12, 2021
The Connector2.0 (BD DataMart) project is to design and develop a DataMart that helps to analyse business. Power wellness has fitness centre across US and Japan. The project is all about cleansing and fetching Valid information of patients from different source by applying all the business rules. The new data mart provides information of the patient, at each location. It helps business to get atomic level, it in turn support business to design better business strategies. Apart from building DataMart I am also involved in Design and development of processing HL7 files. At Each Centre, the patient’s information s generated in HL7 format which Contains 5 segments. Each Segment is placed in different Table, and after receiving respective assessments information on Output HL7 file is generated with all the necessary information. Output Hl7 files helps the Patients in understating his assessments in periodic changes. Different HL7 output format is maintained at each centre.
Element
December 11, 2017 – March 7, 2019
Element Fleet Management is the leading global fleet management company, providing world-class management services and financing for commercial vehicle and equipment fleets.
Cultural Fit Analysis
The candidate has worked across multiple reputable IT service companies (Wipro, Cognizant, TCS) on diverse projects for clients like WorldLine (Banking), Powerwellness (Healthcare/Fitness), and Element Fleet Management. This demonstrates adaptability to different organizational cultures and project domains. The roles consistently involve ETL development and data warehousing, aligning well with a Senior Data Engineer profile. The breadth of technologies mentioned (Talend, Qlik, Oracle, MySQL, Snowflake, Jenkins, ServiceNow) suggests a willingness to learn and apply new tools, contributing positively to cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate highlights good logical thinking, coordination with team members, quick adaptability to new technology, problem-solving, and communication skills. These indicate a potential for good operational fit and collaboration within a team. The experience as a 'risk analyst' with fraud fund transactions suggests an analytical mindset and attention to detail, which are valuable in data engineering.