Soorya Prasanna Ravichandran

Senior Software Engineer

Dallas, TX

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About 🙋🏻‍♂️

Software engineer with 10 years of experience designing, developing, and leading data-intensive distributed systems, cloud applications, and enterprise solutions.

Experience 👨🏻‍💻

Goldman Sachs

Vice President Software Engineer

Jan 2021 - Present

  • Data Lake Engineering → Lead for the firm’s enterprise Data Lake platform, overseeing core services (ingest, sandbox and simulator) to support reporting and analytics across ~160K unique datasets ingesting ~180K daily data pipelines.
  • Spearheaded the data & operational catalog, and built the ingest framework using HBase, Flink, HDFS, AWS S3 and Hadoop YARN.
  • Streamlined SDLC and reduced time to production by 75% through the adoption of blue/green deployment strategy.
  • Core Data Engineering → Lead Architect for Lake to Lakehouse migration, designing and implementing ingest migration architecture to enhance performance and reduce costs.
  • Designed and implemented workflows to decommission 25% of Lake refiners & datastores, migrating unused data to cold storage and reducing quarterly storage costs by ~$500K.
  • Engineered parallel ingest pipelines for seamless migration, improved scalability, and enhanced failover reliability.
  • Collaborated with Snowflake Engineers to develop the Snowpark Migration Accelerator, automating refiner categorization and streamlining migration to Lakehouse.

    • Goldman Sachs

    Associate Software Engineer

    Jan 2020 - Dec 2020

  • Architected and developed key components of Data Lake, including AWS S3 Ingest service, Data Partitioner, Snowflake Ingest service, Avro-Parquet Scanner & Converter utility, ensuring high reliability and on-time delivery.
  • Built a Simulator tool that enabled early bug detection, fostered developer mindfulness, and improved performance tuning, resulting in an 80% increase in customer satisfaction.

    • Goldman Sachs

    Analyst Software Engineer

    Nov 2017 - Dec 2019

  • Contributed to the core backend metadata services for data cataloging, ingestion, and refinement in an early-stage enterprise Data Lake; migrated ingest framework from MapReduce to Flink, reducing latency by 25% and memory usage by 33%.
  • Built a robust testing framework, standardized for 100% releases, ensuring stable deployments and minimizing post-release firefighting.

    • The University of Texas at Dallas

    Curriculum Developer

    Jun 2017 - Oct 2017

  • Led the Big Data Club as the primary instructor, designing hands-on projects, course content, and learning pathways in collaboration with the Center for CS Education & Outreach to enhance student engagement, coding skills, and Big Data mastery.

    • Infosys

    Software Engineer

    Sep 2013 - Jul 2015

  • Developed a high-precision Emergency Alert Solution with 100% predictability, warning Australian communities of fire and flood hazards while delivering mission-critical ETL data to Telstra’s Network Decision Support Database.

    • Infosys

    Software Engineer Intern

    Feb 2013 - May 2013

  • Developed an online shopping website that markets seasonal clothes based on customer geolocation, rapidly prototyping new features to validate feasibility and user engagement.

    • Education 👨🏻‍🎓

    The University of Texas at Dallas

    2015 - 2017
    Master of Science in Computer Science · Data Science Major

    Anna University, India

    2009 - 2013
    Bachelor of Engineering in Computer Science

    Programming 🥷🏻

    Java
    TypeScript
    JavaScript
    SQL
    Python

    Technologies 🛠️

    AWS
    Flink
    HDFS
    HBase
    Iceberg
    Kafka
    Snowflake
    Apache Avro
    Apache Parquet
    MapReduce
    Spark
    Hive
    REST
    JUnit
    CI/CD
    Git
    Maven
    Gradle
    NoSQL
    Bash Shell Script
    Pandas
    SAP Sybase IQ

    Volunteering 👏🏽

    Mentor → Goldman Sachs Emerging Leaders Series (ELS)

    2024 - 2025

    Mentored sophomore students to cultivate essential industry skills that will help them become better engineers and explore opportunities at Goldman Sachs.

    Mentor → Goldman Sachs BAI/HLAI Network

    2021 - 2025

    Mentored interns, junior and mid-level engineers through the Black Analyst Initiative and Hispanic/Latinx Analyst Initiative to promote diversity within Goldman Sachs.

    GS Campus Recruiting Coordinator · North Americas

    2019 - 2025

    Led the recruiting team to identify, source, and hired 100+ engineering talents across the U.S. and Canada, ensuring alignment with business needs for the Goldman Sachs Engineering Division.

    UT Dallas Scouting Team

    2020 - 2025

    Organized Hackathons and various engineering events at The University of Texas at Dallas leading Goldman Sachs Engineers.

    Big Data Instructor · UT Dallas

    2016 - 2017

    Developed competency among 500+ students and 300+ industry professionals by conducting hands-on workshops and seminars on Big Data technologies.

    CS Outreach Coordinator

    Summer 2016

    Designed and led programming workshops for middle and high school students to foster STEM interest and informed career choices, while mentoring college students in programming, coursework, projects, and internships for industry readiness.

    Projects 🎓

    Yelp Challenge

    Prediction of Yelp Review Star Rating → Sentiment Analysis & Recommendation Model.

    Java
    Scala
    PigLatin
    Big Data

    Shopping Website

    Developed scalable web application to market wide range of tech products.

    Javascript
    PHP
    CSS
    MySQL

    Kaggle Challenge

    Implemented Naive Bayes, SVM and KNN classifiers across complex multivariate dataset with 75% accuracy.

    R Programming
    Machine Learning

    Tweets Clustering

    Implemented supervised classification techniques on Twitter dataset using clustering algorithms.

    Java
    Machine Learning

    Car Rental System

    Designed a complete database for a car rental system with all the features. Database was designed using PLSQL

    PLSQL
    Design

    Game of Craps

    Coded the famous casino game 'Craps' to implement machine learning strategies to automate wager and to maximize profit.

    Python
    Machine Learning

    Critical Paths

    Implemented the critical path method (CPM) algorithm in PERT charts to schedule a set of project activities.

    Java
    Algorithms

    Indexed Heap

    Implemented Indexed Priority Queues, Prim’s Minimum Spanning Tree Algorithm, Dijkstra’s Shortest Path Algorithm along with performance comparison.

    Java
    Algorithms

    Skip List

    Implemented the Skip List data structure and compare its performance with Tree Map data structure.

    Java
    Algorithms

    Euler Tour

    Implemented Hierholzer's algorithm to find an Euler tour for any given graph.

    Java
    Algorithms

    Taggr

    Developed an application that is capable of processing repository of videos, convert them to searchable hashtags using Optical Character Recognition (OCR).

    Java
    Cloud Computing

    Portfolio

    Personal webpage built using Next.js, deployed on Vercel.

    Next.js
    React