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✅ 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.

I’m a certified Big Data Databricks Professional Engineer/Developer with over 2 years of hands-on experience in data engineering and analytics. My expertise spans across Python, PySpark, AWS, Azure, Terraform, and Databricks, enabling me to design and manage scalable data pipelines, optimize performance, and streamline data platform costs. Key skills and achievements include: -Designing and developing high-performance, scalable data pipelines. -Implementing Infrastructure as Code strategies using Terraform to automate infrastructure deployment. -Optimizing PySpark jobs and creating dashboards to effectively reduce Databricks costs. -Building data models aligned with business needs, ensuring seamless data integration and enhanced accessibility. -Collaborating closely with stakeholders to develop data solutions that empower data-driven decision-making. I’m dedicated to helping clients unlock the full potential of their data by optimizing systems for both cost-efficiency and performance. Let's work together to build scalable and impactful data solutions!

Data Platform Technical Lead with 8+ years of experience designing, building, and modernizing enterprise data platforms on Azure, AWS, Snowflake, and Databricks. I help organizations transform complex data ecosystems into scalable, reliable, and cost-effective platforms that support analytics, reporting, machine learning, and business-critical operations. My background combines hands-on engineering expertise with technical leadership, allowing me to drive projects from architecture and strategy through implementation and production support. Over the last several years, I have worked extensively with healthcare data platforms serving US hospitals, leading teams responsible for large-scale data ingestion, transformation, governance, and analytics solutions. I have successfully delivered cloud migrations, platform modernization initiatives, and enterprise data warehouse projects while maintaining high standards for performance, security, and reliability. Core expertise: • Data Platform Architecture • Data Engineering • Snowflake • Databricks • Apache Spark / PySpark • SQL & Database Development • Python • Azure Data Services • AWS Data Services • ETL / ELT Development • Data Warehousing • Data Lakes & Lakehouse Architecture • Airflow • Azure Synapse Analytics • Delta Lake • Data Governance & Security • CI/CD & DevOps Automation Key accomplishments include: ✓ Leading the development of a multi-cloud healthcare data platform running on Snowflake across AWS and Azure. ✓ Managing and mentoring engineering teams, conducting technical interviews, defining coding standards, and driving engineering excellence. ✓ Successfully migrating enterprise healthcare workloads from Azure HDInsight Spark clusters to Databricks Lakehouse architecture. ✓ Designing and implementing large-scale data lake and data warehouse solutions that process and analyze millions of records efficiently. ✓ Leading migration projects from Microsoft SQL Server to Snowflake, improving scalability, maintainability, and performance. ✓ Building automated data pipelines using Spark, Python, Airflow, Azure Data Factory, Snowflake, and cloud-native services. ✓ Implementing secure data platforms with RBAC, data masking, governance controls, and enterprise security best practices. Technologies: Snowflake, Databricks, Apache Spark, PySpark, Python, SQL, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Cosmos DB, Azure Key Vault, AWS S3, AWS Athena, AWS DynamoDB, AWS SQS, Airflow, Jenkins, Liquibase, Hive Metastore, Unity Catalog, Delta Tables, Git, CI/CD. What clients can expect when working with me: • Clear and proactive communication • Strong ownership and accountability • Practical architecture decisions focused on business value • High-quality, maintainable solutions • On-time delivery and transparent project management • Deep expertise in modern cloud data platforms Whether you need a Snowflake expert, Databricks architect, data engineering lead, cloud migration specialist, or technical advisor for your data platform strategy, I can help deliver scalable solutions that support long-term business growth.