Hire the Best Apache Spark Engineers in Kyiv, UA

I help businesses leverage BigData systems by architecting and delivering AI, data, event driven cloud and on-premise solutions for the last 15 years. last big project highlights 🚀 : 🔹 decreased billing for 600% 🔹 built automated pipeline for processing 2Tb of data ad load in ElasticSearch in 3h with processing cost less than 100$ Experienced as a Solution Architect, Data Engineer, Software Engineer and DevOps, delivering scalable, cloud-native solutions. I specialize in architecting and building robust, efficient cloud infrastructures (AWS, GCP, Azure) combined with reliable ETL/ELT data pipelines (batch and streaming). Certified in GCP, with Java, Scala, and Python, focused on solving complex big data challenges for real-world business success. 🔹 Core Expertise: • Big Data Engineering: Spark, Hadoop, Kafka, Apache Beam, Airflow • Cloud Architecture: GCP Certified, AWS experienced • ETL & Data Pipelines: Batch and real-time streaming • Microservices & Backend Development: Java, Scala, Python, Node.js • DevOps & Automation: Kubernetes, Terraform, CI/CD 🔹 Why Work with Me? • Proven track record with enterprise clients. • Strong understanding of key business metrics (ROI, ARPU, LTV). • Transparent communication, reliable deliveries, and a partnership-focused approach. 🛠 Tech Stack Overview: 𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: ♨️ Java/Scala: Spring, Spring Boot | Play Framework | Akka | Project Reactor | Netty 🐍 Python: Pandas | NumPy | Flask | Django | DuckDB ⚡️JS/TypeScript: Node.js | NestJS 🚲 Lua / Shell scripting 🛴 Serverless: GCP Cloud Functions | Cloud Run | Firebase | Supabase | AWS Lambda | Cloudflare workers 𝐃𝐚𝐭𝐚 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: 🚢 Spark, Hadoop, Hive / GCP Dataproc / AWS EMR, Glue / R2 Data Catalog / Iceberg 💌 Kafka / PubSub / RabbitMQ / Cloudflare Pipelines 🚀 Redis / Memorystore 🚚 Cassandra, ScyllaDB, ClickHouse, MongoDB, ElasticSearch, Firestore 🗄 BigQuery / Redshift 🚜 PostgreSQL, Supabase, TimescaleDB, MySQL, Oracle 🗑 GCS / S3 / Cloudflare R2 🗞 Avro / Parquet / Protobuf / CSV / JSONL 🚤 Apache Beam / Flink / GCP Dataflow / Kafka Streams / Redis Streams 🎡 Apache Airflow / GCP Composer / Dagster / AWS MWAA 🏠 Dataform / dbt | Fivetran / Airbite 🏭 migration from Informatica, Talend 𝐂𝐥𝐨𝐮𝐝 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬: ☁️ GCP, AWS, Cloudflare 𝐓𝐨𝐨𝐥𝐬: 🏗 Cloud Build / CircleCI / Github Actions / Jenkins 🗺 Nginx / Envoy / GCP Load Balancer / GCP API Gateway 🎛 Terraform 🐳 Docker 🐳 Kubernetes / GKE / Swarm 📊 UML / Jira / Confluence / Notion / Miro / Lucidchart Technical Philosophy: Guided by principles such as Occam's razor (KISS), DRY, SOLID, WORA, YAGNI, and "Let it crash," I focus on delivering real business results with future growth potential built on a strong foundation. Let’s talk about your next project!

⚙️Turning Raw Data Into Scalable Analytics I help companies design and modernize enterprise data platforms: building ETL pipelines, cloud data warehouses, and automation that turn disconnected systems into one reliable source of truth for your business. ✅ 8+ Years as a Data Engineer 📊 Successful Data Engineering Projects Across 22+ Industries in 5 Countries 👨‍💼 Leading a Team of Data Engineers 🌎 Fluent English Hi, I’m Roman — Senior Data Engineer, Data Engineer Consultant, and Enterprise Data Engineer with extensive experience building scalable data platforms, cloud ecosystems, and modern analytics infrastructure. As a Data Engineer, I help companies design, optimize, and modernize enterprise data environments that transform raw information into actionable business intelligence. My background as a Data Engineer covers the full lifecycle of data engineering — including ETL development, cloud migration, data warehouse architecture, real-time processing, and analytics automation. Why Clients Choose Me ⚡ Senior Data Engineer experienced in enterprise-scale ETL and cloud solutions 📈 Data Engineer focused on scalable analytics architecture and performance optimization 🌎 Fluent English communication and stakeholder management 👨‍💼 Lead Data Engineer with experience managing distributed engineering teams 🔍 Business-oriented Data Engineer focused on automation and measurable outcomes Core Expertise Data Engineering & ETL: Azure Data Factory (ADF), SSIS, Apache Spark, Databricks, PySpark, Apache Kafka, dbt Core, Data Pipeline Automation, Data Migration & Transformation, Batch & Real-Time Processing — delivered by an experienced Data Engineer. Data Warehousing & Architecture: Enterprise Data Warehouse (DWH), Lakehouse Architecture, Databricks Lakehouse, OLAP & SSAS, Data Modeling, Data Governance, Azure Synapse Analytics, Snowflake, BigQuery — implemented by a Senior Data Engineer. Databases: Microsoft SQL Server, PostgreSQL, MySQL, Oracle, Azure SQL Database, MongoDB, Neo4j, Redis, SQLite — managed and optimized by a Data Engineer. Cloud Platforms: Microsoft Azure, AWS (Glue, Athena, S3, MSK, EC2, RDS), Snowflake, Office 365 — modern cloud ecosystems built by a Data Engineer. Programming & Analytics: Python, SQL, Power BI, DAX, Power Query, API Integrations, Data Automation — advanced technical expertise from a Data Engineer. 💼 Services I Offer 🛠️ ETL Pipeline Development Data Engineer building scalable ETL/ELT pipelines Data Engineer automating ingestion and transformation workflows Data Engineer optimizing existing processes and infrastructure Data Engineer integrating APIs, SaaS, ERP, and CRM systems 🛠️ Data Warehouse Engineering Data Engineer designing enterprise DWH solutions Data Engineer implementing scalable analytics platforms Data Engineer creating OLAP models and data marts Data Engineer improving governance and data quality frameworks 🛠️ Cloud Data Engineering Data Engineer implementing Azure cloud data platforms Data Engineer leading cloud migration and modernization initiatives Data Engineer designing lakehouse architecture solutions Data Engineer processing big data using Spark and Databricks 🛠️ Data Integration & Automation Data Engineer connecting SQL, APIs, Excel, ERP, and CRM systems Data Engineer automating reporting and workflows Data Engineer configuring orchestration and refresh processes Data Engineer centralizing enterprise analytics ecosystems 🛠️ BI & Analytics Support Data Engineer preparing optimized datasets for reporting Data Engineer improving Power BI data models Data Engineer supporting executive dashboards and KPI tracking Data Engineer increasing reporting scalability and performance As a dedicated Data Engineer, my goal is to help businesses create reliable, scalable, and future-ready data platforms that support analytics, automation, and strategic decision-making. Whether you need a Senior Data Engineer for ETL development, a Cloud Data Engineer for migration projects, or a Lead Data Engineer to architect a complete analytics ecosystem — I can help. 📩 Send me a message and let’s discuss how a Data Engineer can accelerate your business goals.

🔍 About me Senior DevOps / DevSecOps / FDE / MLOps, 7+ years (since 2019) on AWS, Azure, GCP, Hetzner. Started as DevOps; across departments, I learned programming and MLOps, saw what teams lacked, and grew into FDE — I work with everyone, deeply learn how they operate, and use AI plus platform automation to make that work faster and cleaner until production is stable. Confirmable in conversation and on LinkedIn (recommendations from people I worked with). I don't rely only on AI to solve problems — judgment and hands-on delivery come first. 🏢 Industries Fleet / Telematics | Healthcare | LegalTech | FinTech / iGaming | PropTech | AI / SaaS ☁️ Cloud platforms AWS — EKS, EC2, Lambda | RDS, Redis | S3, ECR, SQS | IAM, WAF, KMS, Secrets Manager | CloudFront, Route 53, VPN, ALB Azure — AKS, App Service, Functions | PostgreSQL/MySQL | ACR | Entra ID, Key Vault, Managed Identity, B2C | ADX, Data Factory, Databricks | Front Door | Azure OpenAI, Form Recognizer, AI Foundry GCP — GKE, Cloud SQL, Firebase, Workload Identity Hetzner etc also ⚙️ Tech stack IaC: Hashicorp Terraform, Ansible, Packer | Docker, Helm, ArgoCD, cert-manager, External Secrets, NetworkPolicy | GitHub Actions, GitLab CI, Bitbucket, Azure DevOps | Prometheus, Grafana, SonarQube | PostgreSQL, Redis, Kafka, Temporal, ADX | Python, TypeScript/Node, Go, Bash, Linux 🔒 DevSecOps and Cloud Security Shift-left CI/CD (SonarQube/SAST, ECR/ACR pipelines), IAM/RBAC least privilege, IRSA and Workload Identity, Key Vault / Secrets Manager / CSI, KMS, TLS/cert-manager, NetworkPolicy, OpenVPN, container/K8s hardening, multi-tenant regulated patterns (GDPR-minded Helm/secrets). 🤖 Forward Deployed Engineer (FDE) Discovery, requirements, scoping/sequencing, stakeholder management. Map workflows, decide where AI (RAG, copilots, document intelligence) removes real friction, then architect, code, ship, and prove in production. Hands-on programming when the solution needs it — Python and TypeScript/Node for APIs, workers, and RAG pipelines; Bash/Go for automation and platform tooling; not only infra YAML. FinTech Azure copilots, AKS gates, multi-tenant Azure AI, iGaming on EKS. 🧠 MLOps and AI Infrastructure Azure OpenAI, Form Recognizer, AI Foundry, Databricks, Data Factory, ADX, Temporal, RAG (pgvector, Cognitive Search), multi-tenant Terraform. 🏛️ SolvePillar — founded by me for more projects; nobody else works there.

I help fast-growing teams build robust APIs, scalable data infrastructure, and cloud-native systems that just work. With over 10 years of experience in software engineering, I bring deep expertise in backend development, data engineering, and DevOps practices. What I Do Best: - API & Backend Engineering: Design and implement high-performance services in Go, Python, and Node.js. - Data Engineering: Build efficient ETL/ELT pipelines with PySpark, Delta Lake, Apache Iceberg, Databricks, and modern OLAP systems. - Cloud Infrastructure: Architect and automate deployments with AWS, GCP, Docker, Kubernetes, and CI/CD pipelines. - CLI & Tooling: Deliver powerful CLI tools using Go and Python, optimized for developer productivity. Why Clients Hire Me: - Senior-level autonomy & architectural thinking - Clear, proactive communication - Clean, testable, production-grade code - Always looking to reduce complexity and add long-term value