Shreya Khatal

Senior Software Engineer

Bengaluru, Karnataka, India5 yrs 7 mos experience

Most Likely To Switch

Key Highlights

Expert in Java and Apache Spark for ETL processes.
Proven track record in mentoring budding engineers.
Significant contributions to legal tech applications.

Stackforce AI infers this person is a Fintech Fullstack Developer with strong expertise in Java and data processing technologies.

Contact

shreya.khatal@uber.com LinkedIn

Skills

Core Skills

Apache SparkJavaSpring Boot Framework

Other Skills

Big DataBlockchainCC++Competitive ProgrammingComputer ScienceCore JavaData Lake platformData StructuresDeep LearningFlaskGo (Programming Language)HadoopJavaScriptLeadership

About

Currently working in the Legal Division of Goldman Sachs as a Full Stack Developer (Associate). I am currently contributing and owning feature enhancements of 3 Legal Applications and have delivered multiple feature enhancements right from ideation and architecture design, to writing high quality code, to delivery and handling support queries. Experience includes - Developing muiltithreaded utilities using object oriented approach in Java SpringBoot framework, building RESTful APIs, moving data to Data Lake and building ETL refiners using Apache Spark, configuring resources using IaC (Terraform), working in Agile environment. I have programming experience in Java SpringBoot framework (following object oriented programming practices and design patterns), Apache Spark, C++, Python, ReactJs with Redux for the frontend, MS SQL, NoSQL DB - MongoDB, Terraform. I like to mentor budding engineers. I have experience in mentoring new team members and interns. I also had an opportunity to be a part of Goldman Sach's mentorship program 'Catalyst' and have had an opportunity to mentor students currently pursuing engineering and prepare them for campus placements.

Experience

Uber

2 roles

Senior Software Engineer

Promoted

Sep 2025 – Present · 6 mos · On-site

Software Engineer 2

Mar 2023 – Sep 2025 · 2 yrs 6 mos · On-site

Rider Growth | 3rd Party Loyalty and India Business Growth

Goldman sachs

2 roles

Technology Associate

Dec 2022 – Apr 2023 · 4 mos · Bengaluru, Karnataka, India · On-site

▪️Pentaho to ETL in Data Lake Using Apache Spark
Identified processes in the legacy ETL application (Pentaho) which generate critical reports
Ingested application datasets into Data Lake and configured incremental ingestion in Data Lake
Set up Terraform project to create warehouses, datastores and refiners in Data Lake using Infrastructure as Code
Developed refiners to perform ETL operations for critical reports in Pentaho using Apache Spark and store
transformed data back to Data Lake for further reporting purposes
Set up local refiner testing and automated input data creation for refiners which improved developer experience
drastically
▫️Technology used: Apache Spark, Terraform (IaC), Redshift, Java, Python, MS SQL, Data Lake platform
▪️Litigation Desktop
Developed a multi-threaded functionality to transfer subpoena documents from the source Document Service to
Cloud Based Document Storage Application and persist transfer metadata to MongoDB
Replaced usage of SOAP APIs in the application by RESTful APIs. Developed a library containing third-party utilities to
be commonly used across all Legal Tech applications
Integrated entity searches and creation functionality in the application
▫️ Technology used: Java, Spring Boot framework, MongoDB

Apache SparkTerraformJavaPythonMS SQLData Lake platform+3

Technology Analyst

Aug 2020 – Dec 2022 · 2 yrs 4 mos · Bengaluru, Karnataka, India · On-site

▪️CLIDE Demise
Demised legacy application by migrating 5 legal entities to the alternative matter management platform
Developed multithreaded migration utility to migrate legacy content to the alternative platform
Identified key stakeholders and connected with users to understand required features and enhancements
Refined entitlement and data model, developed RESTful services and batch jobs for seamless matter operations and
integration with CLIDE upstream and downstream applications
Conducted user acceptance testing for each entity, handled post deployment user support queries and published a
topics post in GS Web on project details
Technology used: Java, Spring Boot framework, RESTful Apis, MS SQL

JavaSpring Boot frameworkRESTful APIsMS SQL

Barclays uk

Intern Analyst

May 2019 – Jul 2019 · 2 mos · Pune, Maharashtra, India · On-site

Introduced data management solution in firm’s Automation Testing Tool to create independent test cases and reduced testing time by 55%
Automated 23 test cases in firm’s Salesforce Automation Tool
Automated both positive and negative test data creation reducing effort to create test data manually
Trained 1 new joiner and delivered demo sessions to project team members about the Automation tool
Technology used: Prover Automation Tool, Python

PythonProver Automation Tool