Akshat Prakash

Software Engineer

Germany3 yrs 7 mos experience

Most Likely To Switch

Key Highlights

Architected high-throughput data pipelines at AWS.
Led API design for advanced trading flows at Deutsche Bank.
Passionate about distributed systems and cloud computing.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech and Cloud Computing.

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Skills

Core Skills

Cloud ComputingDistributed SystemsData Engineering

Other Skills

KubernetesGoogle Cloud Platform (GCP)TypeScriptAmazon SQSAWS LambdaTeamworkMySQLJava DevelopmentSoftware InfrastructureSoftware DesignPython (Programming Language)Systems DesignJava Database Connectivity (JDBC)Coding StandardsHumour

About

I’m a backend engineer with experience designing scalable, low-latency, and high-availability systems across cloud and finance — delivering impact at Amazon Web Services (AWS) and Deutsche Bank. At AWS, I architected high-throughput data pipelines leveraging S3, SQS, SNS, Lambda, and DynamoDB to process massive datasets reliably, ensuring secure, efficient, and fault-tolerant delivery across regions. I also developed integration testing frameworks and authentication workflows that strengthened system integrity. At Deutsche Bank, I led the architecture and API design for advanced trading flows, built monitoring and analytics tools to enhance decision-making, and engineered low-latency trading systems using Kafka, Redis, Kubernetes, and cloud-native infrastructure to improve reliability and developer productivity. Passionate about distributed systems, cloud computing, and developer experience, I strive to create platforms that are powerful, intuitive, and secure.

Experience

3 yrs 7 mos

Total Experience

1 yr 9 mos

Average Tenure

3 yrs

Current Experience

Deutsche bank

Software Engineer

May 2023 – Present · 3 yrs · Berlin, Germany

Working in AutobahnFx, a leading trading platform. In my role, I specialize in options trading within the precious metals market, designing and implementing innovative trading flows tailored to specific metal locations. Also helped orchestrate the migration of our servers to Google Cloud. This initiative significantly reduced downtime for our services while enhancing scalability and reliability and streamlining development processes. Lastly, I resolve production incidents and conduct rigorous testing to ensure seamless and accurate platform functionality.

KubernetesGoogle Cloud Platform (GCP)Cloud ComputingDistributed Systems

Amazon

Software Engineer

Sep 2022 – Apr 2023 · 7 mos · Berlin, Germany · Hybrid

Designed and deployed a high-volume data pipeline on AWS to process 30 million customer accounts daily, making the Billrun process 10% faster and more accurate. Led cross-team design discussions, implemented security measures like authentication and encryption, and ensured seamless data publishing. Built end-to-end integration tests, improving accuracy by 30% and reducing manual effort. Managed on-call responsibilities across the USA and China, ensuring data integrity and a smooth auditing process.

TypeScriptAmazon SQSCloud ComputingData Engineering

Deloitte

Technical Analyst Intern

Feb 2022 – May 2022 · 3 mos · India · Remote

Set up automated testing frameworks for API end-to-end testing and integrated CI/CD jobs for seamless test execution. Developed and automated extensive test cases, improving efficiency and reliability. Enhanced code quality by writing comprehensive unit tests with JUnit and Mockito, increasing code coverage from 40% to 96%.

TeamworkMySQL