Data Engineering
Data engineering empower company initiatives by building tools, infrastructure, frameworks, and services to get data “in shape” for analysts to query. It focus primarily on practical applications of data collection and analysis, and responsible for building and maintaining ETL pipelines, making crucial data accessible for entire company.


Planning to implement Data Privacy Act for your website?

Learn more about Digital Marketing Analytics and it's best practices.

Personalisation not only helps in improving customer loyalty but also helps you in understand you customer and their needs

Migration is important to keep a system updated and run at it's best
Highlights
Expertise in building and maintaining database systems with experience in conducting preliminary testing of the warehousing environment before data extraction, extracting company data and transferring it into the new warehousing environment, and testing the new storage system once all the data has been transferred.
Responsible for designing data pipeline architecture, collect data from different source system, cleanse, blend, and join and wrangle data using Informatica/Tableau. Establishing connection to data source, Visualize data and create dashboard using Tableau and Power BI with hands on experience in Informatica, SQL and Python.
