Akshat Sachan

Software Engineer

Noida, Uttar Pradesh, India4 yrs 4 mos experience

Key Highlights

Expert in scalable architectures and systems design.
Proven track record in enhancing payment reliability.
Strong collaboration with cross-functional teams.

Stackforce AI infers this person is a Fintech Backend Engineer with expertise in scalable payment solutions.

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Skills

Core Skills

JavaSpring BootApache SparkElasticsearchNode.jsAwsDjango

Other Skills

AerospikeAmazon Web Services (AWS)C (Programming Language)C++Cascading Style Sheets (CSS)CommunicationData StructuresDebuggingElastic Stack (ELK)HTML5JavaScriptKafkaMicroservicesMicrosoft Visual Studio CodeMySQL

About

Leveraged my expertise in systems design and scalable architectures to enhance search functionalities and UPI payment reliability. With a focus on reducing latency and improving user experience, I contribute to features like spell correction, trending searches, and data caching using Elasticsearch and Redis. My education in Computer Science from Harcourt Butler Technical University complements hands-on experience with technologies such as Aerospike, MySQL, and Apache Spark. Passionate about building efficient, scalable solutions, I collaborate with cross-functional teams to drive impactful changes in the digital payment ecosystem.

Experience

Expedia group

Software Development Engineer II

Aug 2025 – Present · 7 mos · On-site

Paytm

3 roles

Senior Software Engineer

Jun 2025 – Aug 2025 · 2 mos

Software Engineer

Jul 2022 – Jun 2025 · 2 yrs 11 mos

Implemented the UPI Single Block Multiple Debits feature using Java, Spring Boot, MySQL, and Aerospike,
enhancing the user experience for delayed and scheduled payments.
Led the design and implementation of a highly scalable UPI Lite Top-up flow using Java, Spring Boot, and
MySQL, resulting in a 35% increase in conversion rate.
Designed and developed a demographic-based Trending Searches feature, improving click-through rates
by 12–14% using Apache Spark, Elasticsearch, and Node.js.
Integrated A/B testing capabilities using Spring Boot, Node.js, and MySQL, enabling data-driven product
decisions and experimentation at scale.
Developed a high-volume Spark ETL pipeline to ingest 100+ GB and 200M+ records into Elasticsearch, and
optimized it through parallel data partitioning, cutting execution time by 50%.
Collaborated with cross-functional teams to migrate servers from Intel to Graviton-based EC2 instances,
analyzing system utilization to achieve a 30% reduction in AWS costs with no performance degradation.
Migrated multiple Spark jobs to use OLAP datasets instead of raw data, resulting in 50% improvements in
processing times.
Built end-to-end monitoring and alerting for Spark jobs using JMX Exporter and coordinated efforts to
visualize metrics on Grafana.
Contributed to a personalized content delivery system using a Multi-Armed Bandit algorithm,
implementing key components with Java, Spring Boot, and Kafka.

JavaSpring BootMySQLAerospikeApache SparkElasticsearch+2

Intern

Jan 2022 – Jun 2022 · 5 mos

Implemented an admin panel in Django from scratch to make A/B experimentation configurable.
Created APIs in Django to allow inter-service communication.
Implemented Kafka consumers in Java and wrote unit tests for them.

DjangoJavaKafka