Highly experienced Data Engineer with 5+ years of expertise in architecting and implementing data
solutions across AWS, Azure, and Informatica IICS (CDI, CDQ, CDGC, IDMC). Strong experience with
Python and PySpark. Proven ability to develop and optimize cloud-native ETL/ELT pipelines using
Informatica IICS(CDI), Powercenter, AWS Glue and Azure Data Factory, ensuring efficient data migration
and transformation. Expertise in Master data management using Informatica MDM, Cloud MDM.
Strong proficiency in cloud data warehousing (Redshift, Synapse), data integration, and
governance(CDQ, CDGC) with a track record of successfully integrating diverse data sources and
enhancing data quality within cloud environments. Adept at leveraging cloud-native services for
real-time data processing and infrastructure management, delivering robust and scalable cloud data
solutions that drive business insights. Skilled in Agile and Waterfall methodologies.
ETL tools: IICS, CDI, CAI, Informatica Power Center(10x), AWS Database
Migration Service, AWS Glue, Apache Airflow
Cloud technologies: AWS (Glue, S3, Redshift, Lambda,etc), Azure(Databricks,
Datalake, Microsoft Fabric) etc
RDBMS: Oracle, SQL Server, MySQL, AWS S3, Microsoft Azure SQL
Database
Job scheduling: IICS, Informatica Administrator, Control-M, Autosys
MDM packages: IDMC, Informatica MDM MultiDomain Edition 10X(C360,
S360, E360), AVOS, Informatica Data Director (IDD) 10X,
Informatica Data Quality (IDQ) 10X, DPM , EDC, AXON, JMS
Programming languages: Java, Python, PySpark, SQL, PL/SQL, React, HTML
Productivity tools: MS Office, MS Visio, TOAD, SQL Developer, MS SSMS
File transfer tools: MS Office, MS VISIO, TOAD, SQL-Developer, MS SSMS,
WinSCP, , Putty, File Zilla
Project management tools: JIRA, Service Now