Apeksha Rustagi

Data Engineer

Noida, Uttar Pradesh, India5 yrs 1 mo experience

Most Likely To SwitchHighly Stable

Key Highlights

4+ years of experience in Data Engineering.
Expert in building data platforms for analytics.
Proficient in big data technologies like Spark and AWS.

Stackforce AI infers this person is a Data Engineer specializing in Big Data and Analytics within the SaaS and Fintech industries.

Contact

Skills

Core Skills

Data EngineeringBig Data

Other Skills

AWSAWS LambdaAlgorithmsAmazon Elastic MapReduce (EMR)Amazon RedshiftAmazon Web Services (AWS)C++Convolutional Neural Networks (CNN)Data AnalysisData StructuresDeep LearningDeep Neural Networks (DNN)EMRETL toolsJava

About

Hello! I am a Data Engineer with 4+ years of experience with data to solve business problems, building and maintaining infrastructures to improve processes. - work in staging, transforming and loading structured and semi-structured data to build data platforms for analytics. - work on building distributed systems to collect, manage and analyse data for business evaluation purposes. - experience in working on large datasets for org - experience in working on data analysis pipeline design and implementation. - experience in working on big data technologies - Spark, Scala, Python and database languages - SQL and Cloud Services - Amazon Redshift, AWS Glue, Lambda, EMR, IAM

Experience

Amazon

2 roles

Data Engineer II

Sep 2024 – Present · 1 yr 6 mos · Gurugram, Haryana, India · Hybrid

Amazon Web Services (AWS)Data EngineeringScalaPython (Programming Language)SQLBig Data

Data Engineer

Feb 2021 – Jun 2023 · 2 yrs 4 mos · India · Hybrid

WORLD WIDE CONSUMER (FINTECH) TEAM
Working on project built for labour planning data for technical and business use cases. This involves
working on building database for connections to different reporting tools for the org.
Work on tech: Scala, AWS essential services, Athena, Amazon BI tools, EMR, Python
BUSINESS DATA TECHNOLOGIES (BDT) TEAM
Responsible for adding new data content and maintaining currently available data in provider
owning 1000+ odd tables on Amazon S3 based data lake.
Key tasks include: developing, constructing, testing and maintaining important data architectures.
Using programming languages (mainly Python & Java) and ETL tools for identifying ways to
improve data reliability, efficiency and quality.