Gyanish Kumar

Software Engineer

Bengaluru, Karnataka, India5 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable backend systems with Go Lang and AWS.
Developed advanced billing systems for over 400,000 clients.
Proven track record in optimizing performance and cost savings.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech solutions with expertise in cloud architecture.

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Skills

Core Skills

AwsGolang

Other Skills

ANSI CAWS GlueAWS LambdaAWS MySQL Aurora DBAWS SNSAWS Step FunctionsAlgorithmsAngularJSBack-End Web DevelopmentBackendBootstrapC (Programming Language)C++Cascading Style Sheets (CSS)Competitive Programming

About

Hi, I’m Gyanish Kumar, a passionate Backend Engineer with expertise in Go Lang, Java, and AWS. I thrive on designing scalable and efficient backend systems, leveraging my strong skills in Low-Level Design (LLD), design patterns, and API development. In my career, I’ve built high-performance APIs that streamline communication across applications while ensuring maintainability and scalability. My proficiency with AWS enables me to architect reliable cloud-based solutions tailored to modern business needs. I’m actively exploring opportunities to bring my skills to innovative teams and projects. Whether it’s solving complex challenges, driving impactful solutions, or embracing new technologies, I’m eager to contribute meaningfully. Let’s connect! You can reach me at roygyanish2000@gmail.com. Thank you for stopping by my profile!

Experience

Angel one

2 roles

SDE 2

Apr 2024 – Present · 1 yr 11 mos

Working on a Real-time ledger system

SDE 1

Jun 2022 – Apr 2024 · 1 yr 10 mos

Real-Time Billing
1. Created an advanced billing system from scratch, utilizing a publish-subscribe model to efficiently manage billing tasks for over 400,000 clients across various exchanges. Achieved processing time of 2.5 to 10 minutes, eliminating manual intervention.
Automated billing workflows using AWS Step Functions and S3 triggers.
Implemented validation and event-triggering logic with AWS Lambda.
Handled large data volumes effectively with PySpark.
Utilized AWS MySQL Aurora DB for secure billing data storage.
Employed AWS MSK for efficient message queuing with Golang.
Established alert mechanisms via AWS SNS for proactive notifications.
Managed infrastructure using Terraform for streamlined deployment.
Optimized database and Golang components for improved performance.
Demonstrated operational excellence through timely issue resolution.
2. Automated the detection of inactive clients through a glue job. Compared data from S3 trade files and fresh ETL data, storing discrepancies in an S3 location. Triggered alerts before billing, reducing data fix turnaround time. Implemented auto delta billing via Lambda to identify failed billing in existing processes.
3. Developed a Golang microservice to display real-time billing charges on the trading app before users place orders. Achieved quick response times for improved user experience.
4. Contributed to critical Big Data ETL jobs processing gigabytes of data daily using PySpark. Deployed these jobs on AWS GlueJob, resulting in significant cost savings of approximately Rs ~1Cr for the company.

AWS Step FunctionsAWS LambdaAWS MySQL Aurora DBPySparkGolangTerraform+2

Mastercard

Software Engineer

May 2021 – Jul 2021 · 2 mos · Pune/Pimpri-Chinchwad Area

Worked with SRE team on the tool UDAP(Unified Data Acquisition and Processing), there by building a utility to perform pre-checks for pipeline validation using the Java Drools rule engine.
Developed Data flows using Apache NiFi and HDFS