Daniel Petyus-Enterprise Architect | Data & Cloud Engineering Leader | 17+ yrs Banking / FinTech
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Experience
Enterprise Architect
SiriusXM
- Reduced annual AWS spend by 30% (~$400k) through DynamoDB rightsizing, ECS workload restructuring and Savings Plan adoption.
- Designed Scala 3 pipelines on AWS Kinesis, Lambda and DynamoDB processing 200k messages/second using cats-effect and fs2; ingested into Databricks for analytics and experimentation.
- Migrated legacy Java 17 Spring Boot services to a functional stack with zero downtime.
- Led a 4-person DevOps squad implementing automated disaster-recovery drills for DynamoDB and Aurora.
Solution Architect
Spotify
- Built Apache Beam (Scio) and BigQuery pipelines on the commerce platform, delivering real-time checkout analytics for 50M events/day.
- Implemented event-sourced accounting and billing microservices (Kotlin/Scala, Kafka, RDS) supporting new subscription tiers.
- Exposed insights via Looker dashboards, shrinking finance-report SLA from 8 hours to 15 minutes.
Owner
DataLux Software LLC
Designed and built DataLux Ivy, an LLM-based GenAI tool for financial reconciliation and payroll calculation.
Enterprise Architect
PPRO
- Re-engineered payment routing and fee-calculation stack for multi-cloud (AWS/GCP); achieved 10× throughput increase.
- Designed GraphQL and EventBridge APIs powering a debt-collection customer portal; reduced call-centre workload by 25%.
- Coached 6 engineers on Kafka Streams and Terraform, accelerating delivery cadence from monthly to weekly releases.
Solution Architect
OVO Energy
- Launched a greenfield solar PV forecasting engine (Python, XGBoost, TensorFlow) improving energy-trading accuracy by 12%.
- Built and led a cross-functional team (4 engineers, 2 data scientists) delivering MVP in 4 months.
Technical Lead
MOL Group
- Delivered a real-time solar PV production and weather forecasting engine for MOL Group's renewables portfolio (Python, random forests, TensorFlow), with operational tooling on Java 11 Spring microservices.
- Concurrently built real-time stock-market sentiment aggregation (Spring Cloud Data Flow, NLP) for a UK fintech client.
Head of Data Engineering
Hay Bank
- Hands-on technical lead of the Data stream at a challenger bank, reporting to the CTO; team of 5.
- Delivered end-of-day reconciliation and settlement platform (Kafka, gRPC, Redis) enabling bank launch.
- Defined data architecture and strategy for AML, fraud prevention, regulatory reporting and single customer view.
- Integrated FeatureSpace fraud detection, reducing false positives by 30%.
Technical Lead
Orgware
- Led team of 5 on a web-based ERP greenfield extension (Scala, play!) of an existing desktop application.
- Delivered a greenfield SaaS HR management system (Scala, play!) on AWS with auto-scaling and online payment integration.
Technical Lead
Big Data Projects
- Three Austria (Vienna): designed Kafka-based ETL tooling and supported data scientists running ML on Hadoop with Spark and R for telco use cases.
- Telekom Hungary: Kafka-based system integration; designed data pipelines and customer-retention use cases (Scala, Spark, Hive, HBase).
Senior IT Consultant
Goldman Sachs
Cross-asset MiFID I/II regulatory reporting (Java 8, Spring, Elasticsearch, DB2).
Senior IT Consultant
Genomics England
Software architecture for clinical data acquisition; rolled out across 11 NHS hospitals.
Sole Director
Equinox IS Ltd
Bespoke data and analytics solutions for fintech, telecoms, insurance, utilities, renewable energy and public-sector clients across the UK and continental Europe.
Technology Analyst
Calypso Technology
Technical lead on a greenfield automated testing tool; on-site at AIB Dublin and LetterOne.
Technology Associate
Morgan Stanley
Fixed-income / interest-rate derivatives trading and risk system (A+, Java, Scala); FICC options, inflation, swaps.
Software Engineer
Citibank
Real-time and batch credit-risk derivatives calculation engine on a 1,000-node grid.
Technology Associate
Morgan Stanley
Risk reporting and framework; led migration from proprietary to open-source libraries (Spring); received internal Recognition Award.
Owner
WebLabs
Bespoke CMS, web shops and real-estate management software.
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Banking and Finance, Telecommunication, Information Technology, Energy, Healthcare, and Government and Administration.
Business area experience
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Experienced in Information Technology, Product Development, Business Intelligence, Finance, Strategy, and Quality Assurance.
Summary
Hands-on enterprise architect and engineering lead with 17+ years designing cloud, streaming-data and ML platforms for Tier-1 investment banks, fintechs and global consumer-tech firms (Spotify, SiriusXM, Morgan Stanley, Goldman Sachs, Citibank). Led teams of up to 10 engineers and data scientists across the UK, US and continental Europe. Reduced AWS spend by 30% and delivered real-time data, payment and risk platforms in regulated, high-throughput environments. Bridges the gap between business stakeholders and engineering — pragmatic, principled, and focused on outcomes.
Skills
Technical Leadership — Aligning It With Business Strategy, Building And Motivating Engineering Teams, Establishing Sdlc And Devops Practices From Scratch.
Cloud & Data Architecture — Designed Greenfield Streaming, Data And Microservice Platforms On Aws And Gcp; Modernised Legacy Multi-Tier Estates With Zero-Downtime Migrations.
Trading, Risk & Front Office — Direct Work With Traders And Quants On Fixed-Income And Credit-Derivatives Pricing, Real-Time And Eod Risk, And Regulatory Reporting (Mifid I/Ii, Fca).
Aws: Dynamodb, Lambda, Kinesis, Ecs, Eks, Cdk, Aurora, S3, Eventbridge, Savings Plans, Iam
Gcp: Bigquery, Dataflow, Pub/Sub, Gke
Containers / Iac: Kubernetes, Helm, Docker, Terraform
Big Data: Kafka, Kafka Streams, Apache Beam (Scio), Spark, Flink, Databricks, Apache Pinot, Airflow, Hadoop
Languages: Scala 3, Java 21, Python, Sql, Typescript / Javascript, Kotlin
Data Stores: Dynamodb, Aurora, Postgresql, Redis, Redshift, Ibm Db2, Neo4j, Elasticsearch
Gen Ai / Ml: Claude Sdk, Litellm, Openai Apis, Aws Bedrock, Retrieval-Augmented Generation, Fine-Tuning, Vector Dbs, Prompt Engineering, Xgboost, Tensorflow
Methods: Safe, Agile/Scrum, Devops, Mlops, Tdd, Ci/Cd, Event-Sourcing, Microservices, Ddd
Languages
Education
KATHO VHTI
Computer Science & Engineering · Kortrijk, Belgium
Óbuda University
BSc · Computer Science & Engineering · Budapest, Hungary · 5/5
Óbuda University
MSc · Computer Science & Engineering · Budapest, Hungary · 5/5
Certifications & licenses
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Experience
Global experience
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Qualifications
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