Srinidhi G

Software Engineer

Bengaluru, Karnataka, India4 yrs 10 mos experience

Highly Stable

Key Highlights

Designed an event-driven geospatial data platform.
Reduced data ingestion time by 40%.
Developed tools enhancing data platform user experience.

Stackforce AI infers this person is a Backend Engineer specializing in SaaS data solutions.

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Skills

Core Skills

ScalaApache KafkaKafkaJava SpringbootApache Spark

Other Skills

SparkCassandracloud sqlArangoDBSQLPostgreSQLGoogle Cloud Platform (GCP)AlchemyPlay FrameworkData StructuresJavaProblem SolvingAlgorithmsDeep LearningMachine Learning

About

I'm a results-driven Backend Engineer with a proven record in designing advanced solutions for data pipeline management and application development. In my current role, I collaborate with Data Engineers to architect applications and services that optimise data pipelines, improving overall data handling efficiency. I specialise in initiating projects that significantly reduce data ingestion time and enhance data reliability. As a key contributor to the Data Platform team, I focus on crafting tools to enhance the user experience for data platform users. My innovative approach led to the development of the Data Wrangler Tool, showcasing a substantial reduction in ETL job launch time. With three years of hands-on experience, I've refined my backend development skills, actively contributing to the organisation's success. I'm eager to connect with professionals who share my passion for technology and innovation, exchanging insights and exploring collaboration opportunities. If you're similarly enthusiastic, I welcome the chance to connect and pursue mutual growth and success!

Experience

4 yrs 10 mos

Total Experience

3 yrs

Average Tenure

1 yr 10 mos

Current Experience

Apple

Software Engineer

Jul 2024 – Present · 1 yr 10 mos · Hyderabad · On-site

Designed and built an event-driven geospatial data platform (Scala, Kafka, Spark, Cassandra) that automates the ingestion, quality review, and conflation of multi-vendor navigation data — including hiking trails,
cycling routes, and pedestrian paths — against a production map database. Designed a three-phase pipeline with distributed bulk processing, FSM-driven human-in-the-loop review workflows, and spatial
conflation algorithms for geometry matching and attribute resolution, processing data from multiple third-party providers at scale.

ScalaApache Kafka

Payoda technology inc

Senior Software Engineer II

Jul 2024 – Present · 1 yr 10 mos

Rakuten india

3 roles

SDE

Promoted

May 2023 – Jul 2024 · 1 yr 2 mos · India

🛠️ Building Robust Data Pipelines:
In collaboration with Data Engineers, I've contributed to the development of applications and services that simplify the creation and management of diverse data pipelines, including ingestion and replication.
⏱️ Streamlined Processes, Boosted Efficiency:
I took the lead in developing applications and services that resulted in a remarkable 40% reduction in data ingestion time, making data handling more efficient and time-effective.

cloud sqlJava Springboot

Associate Software Engineer

Jul 2021 – Aug 2023 · 2 yrs 1 mo · India

🛠️ Empowering Data Platform Users:
As part of the Data Platform team, I'm currently focused on building tools that enhance the application for data platform users. The introduction of the Data Wrangler Tool led to a significant 30% reduction in ETL job launch time for non-big data and non-Spark users, offering a seamless execution experience through native SQL queries.
🔍 Facilitating Data Exploration:
The development of the Data Quest Tool has contributed to a 25% improvement in data exploration efficiency. This tool provides valuable contextual information about datasets, empowering teams to make informed decisions during their exploration processes.

Apache SparkArangoDB

Technical Intern

Feb 2021 – Jul 2021 · 5 mos · India

⏰ Optimizing Roster Management:
In a bid to enhance operational efficiency, I successfully reduced scheduling conflicts by 20%, streamlining the roster management process. The implementation of automated shift assignment notifications resulted in a 40% reduction in communication delays, ensuring timely updates for staff members.

PostgreSQLGoogle Cloud Platform (GCP)