Work with Various Stakeholders/IT to design and build efficient data pipelines
Build analytic tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Assemble and clean BIG data; complex data sets including various data sources as SAP, Non SAP(Oracle/SQL,Postgres, Sharepoint), SAP HANA, SAP ECC, SAP BW across various business domains to meet functional insights.
Built and design various ETL’s using technologies like Python, SAP BODS, SAP HANA, Attunity Replicate, APIs, and Azure data pipelines as per IT standards for Cloud and On-Premise Data Lake and Reporting solutions.
Create data visualizations using various tools like Power BI.
Assemble large complex data sets to meet functional business requirements.
Identify and improve internal process to automate manual data wrangling, optimizing performance, and improve data quality .
Advance Working SQL Knowledge and experience working with various SAP products, SAP HANA, memSQL , Relational Databases as well as familiarity working with various databases.
Azure data experience preferred
Strong communication & problem solving skills
Minimum 5 year experience building big data pipelines.
7+ years in advance SQL, Python, Power BI, BI tools, must have strong experience working with various business domains.
2+ years of experience working with Utilities and strong business acumen.
3+ year of experience in various ETL tools extracting data using Python, SAP BODS, Attunity Replicate (from SAP ECC and BW & non-SAP sources), and Azure data pipelines.