Learning Python

Programming for Everybody (Getting Started with Python) - University of Michigan

Python Data Structures - University of Michigan

Using Databases with Python - University of Michigan

Verified International Academic Qualifications

Advanced SQL

Big Data Foundations - Level 1

Hadoop Foundations - Level 1

Python for Data Science

Higher Secondary

Bachelor of Engineering - BE

10th

Senior Data Engineer

-Responsible for leading Data Ingestion model attaining 99% data availability that brings data from various GE businesses into Finance Data Lake for financial data consolidation and analytics
-Responsible for maintaining Advanced Analytics model (Data Science project) to report forecasts on Account Payables
-Spearheaded the data reconciliation model to ensure data health between various layers/stages of data processing
-Partnering with Vendor to improve & stabilize Data Ingestion tool (HVR)
-Managing team working on Bug-fix & Enhancement projects

-Part of DIGITAL Technology-Finance-Analytics & ERP CoEs team for building Finance Data Lake
-Understanding Data model - data & systems, data flow & dependencies
-Developed Data Ingestion infrastructure to process 2 TB/day of High-volume ERP data in real-time from legacy systems to Finance Data Lake Staging platform for financial data consolidation, archival and analytics
-Maintaining ETL routines populating data from Staging DB to Finance Data Lake platform
-Maintaining Spark framework based ETL solution developed to overcome Greenplum's low scalability and to solve problem of handling mutable data on Hadoop
-Responsible for data validation to ensure Data Accuracy & Integrity for Data Analysis
-Responsible for troubleshooting data issues to comply by Data Governance & Quality
-Responsible for creating and analysing reports to visualize database health and evaluate data flow - data volume, data throughput, data latency, etc. using Data Visualization tools
-Responsible for creating metr

Data Engineer

-Responsible for developing and maintaining ETL solutions for clients from various industries such as Telecom (Data Warehouse for Ericsson), Life Science/Pharmaceutical (Data Warehouse for Eli Lilly), Healthcare (Data Warehouse for BCBSMA) using Waterfall & Agile methodology
-Experience in Requirement gathering & Analysis, System Design, Software Development, System Testing, Bug Fixing, Documentation and Implementation of Data Warehousing & Data Integration Solutions using Informatica PowerCenter & Data Transformation, Oracle and UNIX
-Responsible for performing Data Cleansing, Scrubbing and Validation before loading the data into Data warehouse
-Responsible for optimizing Performance by identifying & resolving performance bottlenecks
-Responsible for troubleshooting, error handling & root cause analysis
-Active Participation in Account Growth (Continuous Account Improvement) strategies
-Involved in Application Transition Phases like Planning, Preparation and Knowledge Migration

Data Specialist - Informatica

An engineer driven by data

Know about Sarita Jha’s work experience, education, cohorts, certifications, and much more. Sarita Jha

Resume of Sarita Jha • Peerlist

Data Engineering

Python

Tableau