Ashish

Senior Software engineer
placeholder
Location  DELHI
view-icon
Total Views 11
availability
Shortlist 0
back in time
Member since 30+ Days ago
 
Candidate Information
  • User Experience
    Experience  7 Year
  • Cost
    Hourly Rate $22
  • availability
    Availability More 1 Month
  • work from
    Work From Onsite
  • check list
    Category Information Technology & Services
  • back in time
    Last Active On December 19, 2021
Key Skills
Database Big Data Hadoop Spark Scala Python Hive Data scraping ETL
Summary

Total 7 years of experience in Big data and ETL / Business Intelligence technology

 2 Years of experience on Big data Technologies (Hadoop, Spark, Scala, Python, Hive, Airflow, GCP)  Worked on Google Cloud Platform for running Spark based Dataproc cluster jobs.

 Worked on TB size of data Processing using Spark distributing processing.

 Worked on Elastic Search for uploading TB size of data.

 Embedded Fast-text python code in Spark Scala using JEP interpreter.

 Worked on Akka based customer allocation of promotions.

 Creating Hive Query for business given queries.

 Experience of Data scraping with Python.

 Trained Junior Team members in use of Big Data Technologies as well as informatica PowerCenter. Also Conducted Functional and Technical knowledge sharing sessions for the team.

 Expert in ETL technologies (Informatica PowerCenter, PL/SQL, Unix, Control-M)

 Experience in Integrating Sales Force data To EDW using Informatica webservices

 Expert in SQL and writing complex queries on Oracle 12c, MS SQL.

 Knowledge in Data Warehousing Dimensional Modeling, Data Warehousing concepts.

 Responsible for Extraction, Transformation, and Loading of data from multiple sources into Data Warehouse.

 Designed and developed Mappings, from varied Transformations logic like Unconnected and Connected Lookups, Router, Filter, Expression, Aggregator, Joiner, Update strategy and more.

 Experience of using Web Services functionality of informatica to trigger jobs on multiple nodes in parallel.