Prakash Das

Senior Software Engineer

Dublin, County Dublin, Ireland6 yrs 9 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in managing distributed systems with high availability.
Led development of multiple innovative fintech applications.
Proficient in AWS services and event-driven architectures.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in Fintech and Cloud Computing.

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Skills

Core Skills

Amazon Web Services (aws)Distributed ArchitectureAwsEvent-driven ArchitectureFintechApplication DevelopmentData EngineeringCloud Computing

Other Skills

AWS GlueAWS LambdaAWS Step FunctionsAlgorithmsApache KafkaCRM PlatformsCassandraChatbot DevelopmentCloudwatchData StructuresDistributed SystemsDynamoDBEvent BridgeExpress.jsGit

About

🚀 Software Engineer | Distributed Architecture Specialist | 7 Years of Expertise Hello there! 👋 I'm Prakash, a seasoned Software Engineer with a passion for crafting robust, scalable, and highly available systems. Currently, I am deeply immersed in the world of AWS DynamoDB, where I play a pivotal role in managing a highly distributed service, spanning over 70,000 nodes and ensuring a remarkable availability of more than 6 nines. Handling a staggering peak throughput of 600 million requests per second, I contribute to the core strength of DynamoDB. 🌐 Professional Journey: Amazon Ads: Prior to my current role, I honed my skills at Amazon Ads, gaining valuable insights into building scalable solutions and working on cutting-edge technologies. Top Fintech Experience: I've also contributed significantly to one of India's top fintech companies, Navi, where I had the exciting opportunity to lead and build greenfield applications. 🚀 Passionate about Innovation: I thrive in dynamic environments, where challenges are opportunities for growth. My passion lies in architecting solutions that not only meet current demands but also pave the way for future scalability and innovation. Let's connect! I'm always open to discussing exciting projects, sharing insights, and connecting with like-minded professionals. Feel free to reach out!

Experience

Amazon web services (aws)

2 roles

Senior Software Engineer

Promoted

Dec 2025 – Present · 3 mos · On-site

AWSDynamoDBDistributed SystemsAmazon Web Services (AWS)Distributed Architecture

SDE-II

Jan 2024 – Nov 2025 · 1 yr 10 mos · On-site

Amazon

SDE-II

Oct 2022 – Jan 2024 · 1 yr 3 mos

Involved in designing and building a tool from scratch which will help teams across the Sales Ads Org to view, manage and audit data across different platforms, by leveraging Step Functions, Redshift, and standard AWS services.
Worked on building an event driven system to detect changes in records that are getting streamed from one system to another, using AWS Glue, DynamoDB, SNS, Event Bridge.
Collaborated with Product and BIE teams, and other stakeholders to resolve ambiguities during the development phase of the different products.
Mentored 4 SDE-1s in the team, to help them achieve their tasks successfully.

AWS Step FunctionsRedshiftAWS GlueDynamoDBSNSEvent Bridge+2

Navi

SDE-II

Aug 2021 – Oct 2022 · 1 yr 2 mos · Bangalore Urban, Karnataka, India

Was responsible for building the MVP of the Navi Mutual Funds App which is still live as part of the Navi SuperApp.
Responsible in developing an in house Chatbot platform powered by Google Firestore for providing a way for our customers to get their issues resolved in an automated manner.
Led the developmental effort to build a config management platform, which powers building and deploying of custom Chatbots without any tech effort.
Worked on building services to support the in-house CRM platform which our customer support agents use to resolve user grievences.
Mentored and guided 4 SDE-1s in the team in accomplishing their tasks successfully.

Google FirestoreChatbot DevelopmentCRM PlatformsFintechApplication Development

Bidgely

Software Engineer

May 2019 – Aug 2021 · 2 yrs 3 mos · Bengaluru, Karnataka, India

Responsible for developing a Customer Onboarding Solution that uses features such as simplified config management interface and WYSIWYG editors to reduce onboarding time from 8 to 4 weeks.
Was part of the core platform engineering team responsible for managing the entire Data Ingestion pipeline handling around 4-5 million users data.
Worked on technologies like Spring MVC, Cassandra, AWS Lambda, S3, Cloudwatch, Redshift, MySQL, etc.
Was involved in remodelling and redesigning the data ingestion data model, to support new data scenerios.
Supported multiple projects namely Ameren, Avista, Tepco, etc, currently deployed across North America, Europe,Japan.

Spring MVCCassandraAWS LambdaS3CloudwatchRedshift+3