Expertise in Data Architecture, Data Strategy and Roadmap for large and complex organization and systems and implemented large scale end-to-end Data Management & Analytics solutions
Experience in transforming traditional Data Warehousing approaches to Big Data based approaches and proven track record of managing risks and data security
Expertise with Dimensional modeling techniques, Star & Snowflake schemas, modeling slowly changing dimensions and role playing dimensions, dimensional hierarchies, and data classification
Experiences in cloud native principals, designs and deployments.
Extensive experience working with and enhancing Continuous Integration (CI) and Continuous Development (CD) environments
Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, and Data Archival
Data Migration strategies using appropriate tools
Drive delivery in a matrixed environment working with various internal IT partners
Demonstrated ability to work in a fast paced and changing environment with short deadlines, interruptions, and multiple tasks/projects occurring simultaneously
Must be able to work independently and have skills in planning, strategy, estimation, scheduling,
Strong problem solving, influencing, communication, and presentation skills, self-starter
Strong Hands-on programming skills in PySpark
Experience with data processing frameworks and platforms ( Kafka, Beam, Flink, SAP HANA, Hadoop, Presto, Tez, Hive, Spark etc.)
Hands-on experience with related/complementary open source software platforms and languages (e.g. Java, Linux, Python, GIT, Jenkins, MLOps)
Hands-on experience with BI tools and reporting software (e.g. MS PowerBI and Cognos Reporting)