Samarth G Vasist

Senior Software Engineer

Bengaluru, Karnataka, India4 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Awarded Rockstar Award for superior performance multiple times.
Expertise in backend development and data engineering.
Active technical speaker and blogger in the tech community.

Stackforce AI infers this person is a Backend and Data Engineering specialist in the SaaS industry.

Contact

Skills

Core Skills

Backend DevelopmentData Engineering

Other Skills

AWSAmazon AthenaAmazon EC2Amazon S3Amazon Web Services (AWS)Apache AirflowBloggingC (Programming Language)C++Data WarehousingFalconFlaskJavaKafkaLinux

About

Currently working as Senior Software Engineer at MoEngage in the Analytics Team. I am a member of the Data-Science and Analytics team at MoEngage, contributing to projects from planning and design to implementation, delivery, maintenance and support. I’m also actively involved in resolving production issues, infrastructure problems, support ticket resolutions and inter-team dependencies along with mentoring new hires. I have a strong background in backend development, service-oriented architecture, distributed systems, and data engineering with skills in AWS, Azure, MongoDB, ScyllaDB, PostgreSQL, Airflow, Falcon, Python, Java, Spring Boot. I hold a Bachelor's degree focused on Computer Science and Engineering from PES University, where I received multiple merit scholarships and graduated as one among the top 10 rank holders. Highly interested in Backend and Data Engineering, Distributed Systems, Cloud Computing and Test Automation. I'm also a technical speaker at meetups and an active blogger on platforms like Medium and Substack.

Experience

Moengage

3 roles

Senior Software Engineer

Promoted

Apr 2025 – Present · 11 mos · Bengaluru, Karnataka, India

Received Rockstar Award for superior performance: Aug 2025
Designed and developed a centralised billing platform that was responsible for querying the company's data warehouse to collect daily usage metrics (campaign sends, user data), which were then used to calculate and generate accurate bills for MoEngage clients.

PythonSoftware DevelopmentApache AirflowAmazon AthenaMySQLKafka+2

Software Engineer - Analytics

Nov 2023 – Mar 2025 · 1 yr 4 mos · Bengaluru, Karnataka, India

Received Rockstar Award for superior performance: May 2024
Revamping synchronous busy-waiting analytical query executions to asynchronous architecture using message brokers and distributed Celery workers. Implemented Redis caching at API layers to eliminate redundant query executions, reducing average response time and minimizing redundant data scan costs.
Developed User Paths feature which involved querying datawarehouse to provide insights on the sequences of events performed by users, enabling in-depth analysis of user journeys starting or ending with a specified event.
Developed RESTful APIs and asynchronous Airflow pipelines for periodically querying AWS, Azure datawarehouses to provide clients with insightful analysis of their platform usage and user behavior.
Designed and implemented solutions to save and update client analysis enabling users to pause and resume their work ensuring continuity in their analytical workflows.
Developed pipelines for automating datalake querying and alerting clients through emails when the set analytical metrics breach the predefined thresholds enhancing the clients ability to respond to critical data changes.
Integrated auditing and data-tracking across the existing analytics products enhancing transparency and accountability within the system.
Proactively resolving production issues, infrastructure problems, support tickets and inter-team dependencies along with mentoring new hires.

PythonSoftware DevelopmentApache AirflowAmazon AthenaMySQLKafka+2

Software Engineer - DataScience

Sep 2022 – Oct 2023 · 1 yr 1 mo · Bengaluru, Karnataka, India

Received Rockstar Award for superior performance and exceeding expectations: Feb 2023
Received Spot award/ Shout out awards for outstanding contribution: Aug 2023
Developed data-pipelines to automate the end-to-end process of querying user event data and building recommendation
engine with AWS personalise to generate ML based recommendations.

AWSJavaPythonApache AirflowRESTful WebServicesSpring Boot+4