Ayush Kumar

Software Engineer

Berlin, Germany7 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Over 5 years of experience in backend engineering.
Expertise in building robust fintech solutions.
Proven ability to lead cross-functional teams.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech solutions with a strong focus on payments and data engineering.

Contact

Skills

Core Skills

Big DataData EngineeringPaymentsMicroservices Architecture

Other Skills

AWS SageMakerAmazon EKSAmazon Elastic MapReduce (EMR)Amazon RedshiftAmazon Web Services (AWS)Apache AirflowApache AtlasApache FlinkApache KafkaApache NiFiApache PhoenixApache SparkApache Spark StreamingApollo GraphQLArchitectural Design

About

Passionate backend engineer with over 5 years of experience specialising in building robust payments platforms, fintech solutions, search and inventory. Proficient in Java, spring boot and python with a track record of designing and implementing scalable, secure and high performance systems. Skilled in developing data pipelines, search infrastructure and platforms to support real time transaction processing and analytics. Proven ability to lead cross functional teams and drive projects from conception to successful deployment. Dedicated to continuous learning and staying updated with emerging technologies in the rapidly evolving fintech and travel landscape

Experience

7 yrs 10 mos

Total Experience

2 yrs 7 mos

Average Tenure

4 yrs 5 mos

Current Experience

Getyourguide

2 roles

Senior Software Engineer

Promoted

Mar 2024 – Present · 2 yrs 3 mos · Berlin, Germany

Software Engineer

Jan 2022 – Mar 2024 · 2 yrs 2 mos · Berlin, Germany

Cred

Senior Platform Engineer

Dec 2019 – Jan 2022 · 2 yrs 1 mo · Bengaluru, Karnataka, India · On-site

Developing A/B Testing platform for multiple backend and app experiments with an analytical interface to derive experiment impacts and change configurations on the fly.
Implementing big data processing around user data using ETL pipelines and spark and hadoop jobs on EMR, Phoenix, Hive, NiFi, AIrflow and event consumption in queues using kafka streaming for real time updates
Designing and implementing around ETL pipelines, data quality, data governance, rule engines, database design, data visualisation, clustered applications, scalability for 10X, caching principles and object oriented programming
Implemented low level design and lead discussions for high level design with tech leaders with emphasis to build generic platform that can scale for 5-10X traffic, low onboarding time for new requests and clients, async processing, performance benchmarking, POCs for service level components for DB, cache, logging, monitoring and alerting

ETLApache SparkHadoopKafkaData GovernanceData Quality+4

Airtel x labs

Software Engineer

Jul 2018 – Nov 2019 · 1 yr 4 mos · Gurgaon, India

Integration of different payment modes like credit cards, net banking, Paytm Wallet, Amazon Pay, UPI and PayLater wallets with special emphasis on dynamic payment gateway switching to handle traffic for downtime and fluctuating payment modes.
Involved in managing the user journey from payment page and payment success and rewards. We revamped the existing monolithic legacy architecture into 8-10 micro services and were able to increase payment success rate and decrease user drop offs
Implemented payments module micro services from scratch for the MyAirtelApp designing modules for payment gateways (CC,DC,NB), wallets, UPI (real time API integration with multiple gateways and route traffic dynamically based on previous success rate). Implemented and managed batch jobs for refunds, payment status, settlements and data migrations.

Payment Gateway IntegrationMicroservicesDynamic RoutingBatch JobsPaymentsMicroservices Architecture