Hardworking employee with customer service, multitasking and time management abilities. Devoted to giving every customer a positive and memorable experience. Diligent Senior Bigdata Developer with 8.6 years of experience in bigdata stack namely Hadoop, Spark and SQL.
#Project 1: APAC Reporting - Sybase Migration
APAC Reporting is a migrated application where all the data and logic has been migrated from Legacy (Sybase DB) to Olympus as centralized location. Olympus is getting trading data from different source systems. As part of the same business each client would be offered with different types of modules based on their needs. To maintain this much of huge volumes of, different verities of data in traditional databases is a very tedious process. Re-platforming of current data warehouse system to Hadoop solution in a cost effective solution. Generating different types of regulatory reports which can be helped client to process their analysis w.r.t of the regulators.
#Project 2: CII-Client Information Insights
CII is getting the source data from different source systems. As part of the same business each customer would be offered with different types of modules based on their needs. To maintain this much of huge volumes of, different verities of data in traditional databases is a very tedious process. To meet the scaling needs of data of CII, re-plat forming of current data warehouse system to hadoop solution in a cost effective solution. Currently, Snowflake has been implemented to get the data for visualization (Teradata system has been replaced with Snowflake).
#Project 3: JSK-Data Analysis
The purpose of the project is logistics providers are persistently creating enormous and vast data sets while managing the massive flow of goods and individuals. For millions of shipments around the world every day, location, content, size, weight, origin and destination and many other information are getting tracked and gathered across the global delivery and transport networks. Maintaining this much of the volume of different verities of the data in traditional databases is a very tedious process. To meet the scaling need of data of jsk logistics, replatforming the current data warehouse system.