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ETL Developer with 5+ years in Data Integration & Quality using Talend and Informatica IDQ.
To secure a promising, successful and challenging career in a reputed Organization where my knowledge and skills can be effectively applied, enabling me to explore myself fully and realize my full potential. About 3.9+ years of experience in IT industry working with tools Informatica Data Quality (IDQ), Talend Open Studio and Talend Enterprise tools for Data Integration. Proficient in Informatica IDQ including data profiling, data cleansing and data standardization. Conducted data profiling to assess data quality and identified data anomalies and inconsistencies. Excellent problem-solving skills and the ability to identify and resolve data quality issues efficiently. Participated in data cleansing activities and collaborated with team members to resolve data quality issues. I worked on Open Studio and Enterprise Edition. Has Knowledge on Slaesforce and Informatica Data Quality Strong 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). Expert in using different components in Talend like Processing Components - tFilterRow, tAggregateRow, tSampleRow, tFilterColumns, tNormalize, tDeNormalize, tMap and tJoin. Logs & Error Components - tDie, tLogCatcher, tStatCatcher, tLogRow. Database Components - tOracleInput, tOracleOutput, tOracleCommit, tOracleConnection. Data Quality Components - tSchemaComplianceCheck, tUniqRow. File Components - tFileInputDelimited, tFileOutputDelimited, tFileInputFullRow, tFilelist, tFileCopy, tFileExist, tFileArchive. Orchestration Components - tWaitForFile, tParallelize, tPrejob, tRunjob, tPostjob, tUnite. Expertise in working with different data sources heterogeneous source systems like files ( .TXT, XML, CSV, Excel, JSON, Fixed Width). Good knowledge on implementing SCD Type-1, Type-2 and Type-3. Proficiency in Data Warehouse concepts and principles involving Star Schema, Snow Flake m
Malla Reddy Institute of Engineering
Bachelor of Technology
N/A – June 30, 2019
Cognizant Technology Solutions India limited
Associate
November 1, 2021 – Present
Hyderābād, Telangana, India
Capgemini Technology Services India limited
Senior Software Engineer
June 1, 2021 – November 1, 2021
Bengaluru, Karnataka, India
Charles Schwab
March 1, 2024 – June 30, 2026
Client: Charles Schwab, USA (Banking) Role: Support Role with Enhancement Environment: Talend, GCP Big Query, IICS, MSSQL Duration: March 2024 to Present
AmeriHealth
March 1, 2023 – January 1, 2024
Client: AmeriHealth, USA Role: Informatica Data Quality (IDQ) Developer Environment: Informatica Data Quality (IDQ), MSSQL Duration: March 2023 to Jan 2024 Project Description: AmeriHealth is a health insurance company that operates primarily in the United States. It offers a range of health insurance products and services, including medical, dental, and vision coverage. The company serves both individuals and employer groups. AmeriHealth focuses on providing health plans that cater to the specific needs of its members, and it often partners with healthcare providers to create networks that offer access to a wide range of medical services. The company strives to promote wellness and preventive care while also offering coverage for essential medical treatments and services. Responsibilities: Proficient in Informatica IDQ, including data profiling, data cleansing, and data standardization. Collaborated with cross-functional teams to understand data requirements and quality expectations. Conducted data profiling to assess data quality and identified data anomalies and inconsistencies. Strong understanding of ETL (Extract, Transform, Load) processes and data warehousing concepts. Solid knowledge of SQL and database querying for data analysis and validation. Experience in designing and implementing data quality rules and mappings to ensure data consistency and compliance. Excellent problem-solving skills and the ability to identify and resolve data quality issues efficiently. Participated in data cleansing activities and collaborated with team members to resolve data quality issues.
Bayer
November 1, 2021 – January 1, 2023
Client: Bayer, Germany Role: Talend-ETL Developer Environment: Talend Cloud Real-Time Big data Platform Studio 7.2, WinSCP, Windows 10, Jira, AWS S3, VS Code, MSSQL, Visual Studio, Git Lab, Salesforce Duration: November 2021 to Jan 2023 Responsibilities: Extract the data from different external sources and cleansing the data and load into the target DW. Designed the jobs using Talend Components like tFilterRow, tFilterColumns, tSortRow, tAggregateRow, tMap, tJoin, tUniqRow, tUnite, tReplicate, tReplace, tConvertType, tNormalize, tDenormalize, tRowGenerator, tPrejob, tPostjob, tSendMail, tLogRow, tRest and tSchemaComplianceCheck. Used Talend components like tS3Put, tS3Get, tS3FileList. Good understanding of the CRM processes. Business knowledge of Salesforce. Collected requirements from clients and communicated them to the Salesforce professionals. Used target object as Salesforce and after loading the data we used to check the data in Salesforce Workbench. Has knowledge on picklist fields in Salesforce and other Datatypes. Handled errors that thrown by Salesforce while loading data. Involved in development of Big data Understanding the Technical design document and Source-To Target mappings. Active participation in creation of ETL knowledge repository within the team through creation of standard document templates. This also acted as Knowledge transfer documents and available for ready reference by any team member. Actively participated in daily, weekly, and Monthly meetings with onshore & offshore people. We have used joblets like (bootstrapper, job controller, iget query, iset query, finisher). Handled different types of interfaces and deployed in various staging platforms. Provide support for project execution involving new solution if required. Worked closely with SQL database server.
Cultural Fit Analysis
The candidate has worked with diverse clients (Bayer, AmeriHealth, Charles Schwab) across different industries (pharmaceutical, health insurance, banking), indicating adaptability to various business contexts. Their experience in both development and support roles, along with participation in onshore/offshore meetings, suggests a readiness to work in varied team structures and contribute to different project phases. The breadth of tools and technologies used (Talend, IDQ, AWS, GCP, Salesforce, SQL) shows a willingness to learn and apply new skills, which is beneficial for cultural fit in dynamic environments.
Soft Skills & Operational Fit
The candidate demonstrates good problem-solving skills and the ability to collaborate with cross-functional teams, as evidenced by their responsibilities in understanding data requirements and resolving data quality issues. Active participation in daily/weekly/monthly meetings indicates a proactive approach to team communication and project progress. The creation of an ETL knowledge repository suggests a commitment to knowledge sharing and process improvement.