Skip to content
Yevgen Ponomarenko

Yevgen Ponomarenko

Data & Delivery Leadership | Cloud Platform Modernization | Analytics Transformation

Kyiv, Ukraine · yevgen.ponomarenko@gmail.com · LinkedIn

Executive Summary

Delivery manager and data platform architect with over 17 years of experience—starting in banking and financial software engineering, then advancing through data migration, modernization, and analytics transformation in commodity trading, retail, industrial, and financial sectors. Expert in orchestrating enterprise data transformations, process automation, and regulatory compliance on cloud-native platforms, with proven hands-on delivery at scale in regulated and matrixed environments.

Core Competencies

  • Multi-cloud Data Platform Modernization & Migration (AWS, GCP, Azure)
  • Real-Time Data Processing & Analytics (Airflow, Spark, Kafka, Python)
  • Generative AI, Machine Learning & Data Engineering (AWS AI, Snowflake, RAG, LLM)
  • Cloud Architecture, Infrastructure-as-Code (Terraform, AWS CDK, Kubernetes)
  • DevOps & Service Mesh (Kubernetes, HAProxy, Linkerd, GitLab CI/CD)
  • Data Quality, Governance, and Automated Reconciliation
  • BI, Data Warehousing & Self-Service Analytics (SQL, Power BI, Snowflake)
  • Agile Transformation & Engineering Excellence (Scaled Agile, SAFe/EngX)
  • Stakeholder Engagement & Global Team Leadership (up to 70 FTE)
  • Strategic Program Roadmapping, Change Management
  • Regulatory Compliance awareness (GDPR, ESG-related, audit, risk)
  • Banking & Financial Systems experience

Professional Experience

Data Delivery Manager / Data Platform Architect

Enterprise Data & Analytics Transformation · Feb 2021 – Present

Delivery Manager / AI Engineer – Knowledge Platform, Consumer Goods (CPG) · May 2026 – Sep 2026

  • Designed and largely built a governed knowledge platform for a global CPG manufacturer, spanning the full lifecycle from raw document to grounded, cited answer: medallion ingestion over a lakehouse (459 source documents, 7 formats), fail-loud contract validation with quarantine (542 BI measures admitted from a 1,102 source library), intent-routed retrieval across four paths, and a supervisor agent tool-calling over 11 governed catalog functions. 990 curated articles produced 3,042 enriched chunks at 96.8% index synchronisation. Built the evaluation capability that followed — a 34-question competency harness across all four routes tracking answer quality, route distribution, context leakage and latency — which surfaced that three of four specialised retrieval paths were not behaving as the architecture described. Contributed ~60% of platform commits (431 of ~721). Authored and delivered the scale-up investment case to client leadership, structured around evidence gates rather than fixed scope.
  • Technologies: Databricks, Unity Catalog, Delta Lake, Vector Search, MLflow, Python, DSPy, Streamlit, Power BI/DAX, Docling; agentic RAG, supervisor-router multi-agent, hierarchical summarisation, LLM-as-judge evaluation.

Migration Tools Lead – Food/Agriculture/Trading · Mar 2025 – Sep 2025

  • Led specialized Migration Tools team (8 members) for enterprise-wide Cloudera to AWS Lakehouse transformation, serving 70+ Data Product Engineering teams migrating 500TB+ data across 200+ applications. Delivered Historical Data Migration tool (Oozie/Spark/AWS DataSync), AI-powered Agentic Code Converter achieving 60% automation, and Data Reconciliation capabilities reducing manual verification by 50%.

Delivery Manager – Retail/eCommerce · Apr 2024 – Feb 2025

  • Managed 25-member cross-functional team delivering DWH migration (MSSQL→Snowflake/Airflow), BI toolset replacement (Alteryx/Power BI → ThoughtSpot), and eCommerce platform support. Client commended "smoothness of release" exceeding expectations; delivery speed increased >30%.

Delivery Manager – Construction/Industrial · Jul 2023 – Jan 2024

  • Reverse-engineered analytics platform without handover documentation; established SDLC, KB, and release management with core team of 3 expanded to 7. Improved Cloud Composer/Airflow-orchestrated data pipeline performance from 4 hours to 15 minutes; transitioned GCP and GitHub infrastructure to Terraform IaC. Architected MkDocs-based documentation solution. Client revised roadmap noting team delivered "twice as fast as originally expected."
  • Technologies: GCP (BigQuery, Cloud Composer, Dataproc, Dataplex, Cloud Monitoring), Terraform Cloud, Workato, Python, Airflow, MkDocs, GitHub Actions.

Delivery Manager – Financial Services · Feb 2021 – Jan 2023

  • Led DataOps platform post-POC through organizational changes and SAFe framework adoption, doubling team size to handle 3 streams (DataOps, Apache NiFi ETL, Databricks R&D). Coordinated Databricks implementation with SDLC improvements using SIPOC process mapping. Part-time coordinator for marine equipment marketplace staff augmentation; onboarded engineers, mentored on AWS.

DevOps Engineer – Financial Services (Loan Market) · Jan 2022 – May 2022

  • Hands-on DevOps role building microservices web application in US loan-market domain. Implemented CI/CD improvements and IaC approach using AWS CDK with Kubernetes integration. Adopted HAProxy for ingress and Linkerd service mesh; developed multi-region DR scenarios.
  • Technologies: Kubernetes, AWS (CDK, EKS, Aurora), Tilt, HAProxy, Linkerd, GitLab, Python.

Technologies: AWS (SageMaker, DataSync, Glue, Athena, CDK, EKS, Aurora), Snowflake, Airflow (MWAA), ThoughtSpot, Databricks, Apache NiFi, GCP (BigQuery, Composer, Dataproc), Terraform, Kubernetes, Kafka, Alation, migVisor, Workato, MkDocs, HAProxy, Linkerd.

Team Lead / Software Architect / Project Manager

Capital Markets & Financial Technology · 2017 – 2021

  • Led development of Virtual Data Room platform for M&A transactions, capital raises, and investor communications with secure document sharing and granular permissions. Enhanced Agile processes, managed release engineering, owned DocuSign integration from requirements through delivery.
  • Managed AWS migration of editorial applications across 10 squads (~70 FTE). Coordinated staffing, performance management, strategic planning, and bi-weekly status reporting with budget forecasting.
  • Architected AI/ML solution to extract financial crime risks from news using NLP and predefined taxonomy. Led Data Science and Development teams through design, agile delivery, and handover to Operations adhering to enterprise standards.
  • Technologies: AWS (SageMaker, ECS Fargate, Aurora, Lambda, Step Functions, S3, CloudFormation, CloudWatch), .NET Core, Python, TypeScript, Angular, Ionic, Docker, Elastic Search, Rabbit MQ, BERT, CoreNLP, AWS CDK, JIRA.
  • Teams: Managed 3-5 teams (25-30 FTE) and 10 squads (70 FTE); led cross-functional Data Science, Development, DevOps, and QA engineers.

Full-Stack Software Engineer / Team Lead

Capital Markets, Banking, Financial Technology · 2008 – 2017

  • Delivered mission-critical applications for global capital markets intelligence and syndicated loans, automating financial processes and enabling secure document, compliance, reporting, and trading automation for leading financial institutions.
  • Led engineering and architectural efforts for multi-stream development teams, building secure transactional systems, integrating direct access to real-time inventory positions, and customizing reporting, deal/billing platforms for banks and institutional finance.
  • Architected and enhanced software for automated trading instruments including pricing, billing, and scheduled fund management, supporting regulatory requirements and detailed audit trails.
  • Coordinated banking integrations and guided team delivery for multiple ongoing capital raises, asset management, and loan trading platforms.
  • Technologies: .NET (ASP.NET, C#), ServiceStack, AngularJS, JavaScript, MS SQL Server, Dapper ORM, AWS, NodeJS, Grunt, Karma, TeamCity, JIRA, Swagger, Visual Studio, Git, TFS.
  • Teams: Led 3-8 developers; managed full-stack and front-end engineers; coordinated with Product Owners, Business Analysts, Technology Managers, and Software Architects.

Technical Expertise

  • Cloud / Infrastructure: AWS (CDK, EKS, ECS, CloudFormation), Azure (DevOps/SQL), GCP, Docker, Terraform, Kubernetes, HAProxy, Linkerd
  • Languages: Python, SQL, TypeScript, JavaScript, C#
  • Data Platforms: Snowflake, Databricks, Airflow, ThoughtSpot, Alteryx
  • Data Streaming & Analytics: Kafka, Spark, BigQuery
  • BI / Visualization (Project Management only): Power BI, Tableau, Looker Studio
  • Governance & Security: Alation, Azure KeyVault, AWS Secrets Manager, AWS KMS, API Management, GDPR
  • Collaboration: Jira, Confluence, BitBucket, GitHub, GitLab, Azure DevOps, Monday.com, Tilt
  • Documentation & Knowledge Management: Confluence, MkDocs, Markdown, PlantUML, Mermaid, Docs-as-Code methodologies
  • DevOps & Service Mesh: AWS CDK, Terraform, Kubernetes, HAProxy, Linkerd, GitLab CI/CD, Tilt
  • Banking & Financial Systems: Secure document sharing, financial trading automation, loan market platforms, auditing/reporting

Education & Certifications

  • MSc & BSc, Computer Science – National University of Civil Aviation, Ukraine
  • AWS Certified Solutions Architect – Professional

Advanced Learning & Skills Development

  • Pursued a broad spectrum of advanced trainings in high-grade corporate learning programs covering:
  • Artificial Intelligence and Machine Learning (AWS AI Practitioner, Gen AI for Managers, RAG and Fine-Tuning, Prompt Engineering)
  • Stakeholder Management and Consultative Mindset
  • Advanced Snowflake Data Engineering and Analytics
  • Generative AI adoption, state-of-the-industry, software development, and use-case playbooks
  • Change, Scope, and Project Management best practices
  • All courses completed with high marks; verified evidence available upon request for specific trainings and certifications.

Key Projects & Quantified Achievements

  • Financial Systems & Trading Platforms (2008–2016): Developed and maintained secure banking applications, capital market trading automation systems, audit-compliant reporting engines, and real-time document exchange platforms for leading finance industry clients.
  • Data Migration Accelerators: Delivered reusable automation tools, enabling 70+ teams to migrate workloads, reducing manual validation, mitigating risk, and supporting migration of 500TB+ data in major modernization program.
  • Analytics Modernization (Retail/Financial): Migrated BI/DWH to Snowflake/Airflow, boosted delivery speed by >30%.
  • Real-Time Analytics (Industrial): Cloud orchestration and automation increased data pipeline throughput by >90%.
  • AI/ML for Compliance: Deployed GenAI-based code conversion and data screener automation, reducing manual review by 60% and improving regulatory response time.
  • Global Team Leadership: Led up to 70 professionals in Agile data programs, increasing delivery velocity by >20%; sustained team retention and satisfaction.

Leadership & Team Building

  • Built and mentored distributed, cross-functional teams in banking, capital markets, and data transformation programs.
  • Drove scaled Agile transformation across analytics, finance, and trading/commodity delivery; enabled knowledge sharing and adoption of best practices.
  • Fostered transparent governance, reporting, and risk management cultures for delivery excellence in dynamic environments.

Non-Project Achievements, Badges & Activities

GenAI & AI Innovation

  • 🏆 GenAI Hackathon Team Finalists (2nd Place): Awarded for AI-powered data migration optimization at EPAM Data Analytics Hackathon (Nov 2025). Challenge achieved - Enabling MCP and A2A Integration for MigVisor
  • 🤖 GenAI Training Series Completion: Completed advanced trainings in Gen AI use-case engineering, prompt engineering, RAG, AI practitioner, with evidence available on request.

Leadership, Mentoring & Speaking

  • 👨‍💼 Mentor, Kids AI Hackathon (ESG): Guided young coders at Ukraine Kids AI Hackathon (Oct 2025), advancing STEM and inclusion.
  • 🗣️ Community Speaker (5 Badges): Delivered technical talks and solution showcases on analytics, AI, and transformation at EPAM community events.
  • 🏅 Leadership & Team Recognition: EPAM contributor loyalty badges; awarded "Team of Stars" for dedication and leadership.

Advanced Learning & Compliance

  • 📚 Corporate Learning Achiever: Completed advanced courses in generative AI, data engineering, stakeholder management, IT security, and consultative mindset (all with high marks).
  • 💬 Change Management & Process Improvement: Recognized for contributions in scope, interviewing, and transformation practices.

Note: Detailed badge and learning evidence available on request. These achievements reflect commitment to community impact, leadership, and innovation beyond standard project delivery.

Keywords

Data Management, Trading Systems, Financial Software, Banking Integrations, Real-Time Analytics, Cloud Migration, Azure, AWS, Spark, Python, Kafka, Regulatory Compliance, BI Modernization, Digital Transformation, Risk Management, ML Automation, Agile Delivery, Team Leadership, Lakehouse Architecture, ESG Reporting, Data Governance