A result-oriented professional offering nearly 11 years of successful career with diverse roles distinguished by commended performance and proven results in Oracle, SQL Server, MangoDB & Bigdata , Azure Administrator and Data Factory, Data Lake and Synapse.
Skilled in UNIX using Shell Scripting: bash, VI Editor; ETL Development & support (Informatica) and VAS Domain SDP (Service Delivery Platform)
Expertise in software projects right from requirement analysis, documentation (functional specifications, technical design) to testing (preparation of test cases along with implementation)
Updated knowledge by studying state-of-the-art development tools, programming techniques, and computing equipment, participating in educational opportunities, reading professional publications and maintaining personal networks
Built, managed and delivered projects across multiple practices across diversified cultural locations; vast exposure in developing, maintaining, testing and releasing solutions
6 years of experience in ETL, BI design and development with maintenance and support. Involved into E2E design of DWH using Oracle & toad data modeller and implementation and creating the mapping, workflows as per requirement
4 years of experience in VAS Domain SDP (Service Delivery Platform) as Integrator and application support
4 years of working experience in agile methodology and having working knowledge on SCRUM process
Having knowledge of data and application migration
Working knowledge of big data (Scala, Spark and Hive-Sqoop) to create ETL mapping to migrate data and data parsing logic into new environment from legacy (Oracle and SQL) and Hive: Manipulating data, Partitioning and Bucketing, Hive Scripts
Creating troubleshooting document for team members for any new story/fix/mapping with all technical details for reference.
Designation : | Tech Lead |
Highest Education : | Graduate Degree |
Open For Job : | Open for Job Change |
Job Skill : | Cloud Engineers, Databricks Big data, Spark, Oracle Developer, MSSQL , Unix, Unix shell, Azure Data Factory |
Work Experience : | 11 - 15 years |
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