Hire the Best HBase Specialists in Kyiv, UA

Summary Skills: Hadoop: Nifi, Sqoop, Kafka, HDFS, Schema Registry, Atlas, Streams Messaging Manager. Programming Languages / Scripting: SQL, NOSQL, Python, R, Bash, C#, API. Relational Databases: Oracle, MYSQL, PostgreSQL, Hive. Non-Relational Databases (NOSQL): HBase, MongoDB. Data Virtualization: Tibco Data Virtualization Studio. Data Visualization: Tibco Spotfire, Power BI, MongoDB Charts, DataIku, Kibana, ThingsBoard, Banana BI. ELK Stack: ElasticSearch, Logstash, Kibana. Experience: * Design and development of processes for automatically extracting, transforming and loading data from external data sources into the perimeter of the Hadoop Data Hub. * Development of applications for multi-threaded processing, enrichment and aggregation of data from various streams in real time for banking systems. * BI development. * Building visualizations (reports) for data analysis from insurance systems, loyalty programs and the flow of transactions. * IronPython/R scripts for BI.

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.

🔥 𝟏𝟎 + 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧 𝐚𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐃𝐚𝐭𝐚 𝐛𝐚𝐬𝐞𝐝 𝐨𝐧 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐚𝐧𝐝 𝐒𝐐𝐋. I have experience over 10 years in working with data. During my career I participated database development, working with data warehouse, data analytics, report development, implementation of CRM and SaaS solutions. I have analytical mind, personality and aptitude for working with data, ability to drill into details and identify problems. I can work independently and as a member of a team. 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐰𝐢𝐭𝐡: 📊 BI / Reporting and Analytics - Proficient in Power BI development, including interactive report and dashboard creation - Strong understanding of data modeling and data visualization principles - Skilled in data collection and integration from various sources (databases, APIs, files, online services) - Experienced with Power Query (M language) for data transformation - Proficient in DAX (Data Analysis Expressions) for creating custom metrics and calculations - In-depth knowledge of database management systems, OLAP concepts, and the ETL (Extract, Transform, Load) process - Excellent attention to detail and strong problem-solving abilities - Certified in Power BI - Experienced in developing, optimizing, and maintaining reports using SQL Server Reporting Services (SSRS) 🛠️ SQL Development and Data Management - Proficient in Microsoft SQL Server and Oracle PL/SQL - Skilled in writing efficient SQL queries and handling large datasets - Experienced in developing, optimizing, and maintaining stored procedures, functions, jobs, triggers, and packages - Strong background in database modeling, including the design of tables, indexes, and views - Expertise in database performance tuning and query optimization - Hands-on experience with PostgreSQL, MySQL, and Vertica databases - Proficient in data cleaning, transformation, and migration from various sources 🏗️ Data Warehousing (DWH) and ETL Development - Experienced in building robust ETL pipelines for analytics and internal operations - Skilled in designing, developing, and implementing Data Warehouse solutions using SSIS - Strong background in data modeling, including Third Normal Form and dimensional modeling techniques - Proficient in designing and implementing OLAP cube solutions using SSAS - Hands-on experience with both Python and SQL for data transformation and automation ⚙️ System Implementation and Platform Support - Experienced in installing and customizing CRM and SaaS platforms - Proficient in working with both Linux (Red Hat Enterprise Linux) and Microsoft Windows Server environments - Skilled in deploying, updating, and supporting CRM systems and websites on Linux using Nginx, RabbitMQ, and Docker - Experienced in managing CRM systems and websites on Windows Server using IIS, Active Directory (AD), and Redis - Proficient in modeling business processes using BPMN (Business Process Model and Notation) ✅ 𝐒𝐮𝐜𝐜𝐞𝐬𝐬𝐟𝐮𝐥 𝐂𝐚𝐬𝐞 𝐒𝐭𝐮𝐝𝐢𝐞𝐬: 𝐏𝐫𝐨𝐣𝐞𝐜𝐭: BI Platform Implementation (Health Domain) 𝐑𝐨𝐥𝐞: BI Developer\Implementator 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐨𝐛𝐣𝐞𝐜𝐭𝐢𝐯𝐞𝐬: The project's goal was to implement an Analytics Platform for the client and process his data for analyst reporting. Extensive data processing, development of Data Warehouse and OLAP Cubes for Analytical SaaS Platform, creating data visualization and reporting for clients. As a result, we implement an Analytics Platform that processes data and visualize it with charts and reports. 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐬𝐭𝐚𝐜𝐤: Microsoft SQL Server, Vertica DB, Power BI, Microsoft SSIS, Microsoft SSAS, Multidimensional Expressions (MDX). 𝐏𝐫𝐨𝐣𝐞𝐜𝐭: CRM Development (Health Insurance Domain) 𝐑𝐨𝐥𝐞: Data Engineer 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐨𝐛𝐣𝐞𝐜𝐭𝐢𝐯𝐞𝐬: The goal of the project is to develop a CRM database. There were tasks for data migration, modeling, building, and supporting the CRM database. Take part in the implementation and administration of CRM. SQL query optimization and troubleshooting, creating reports and visualization data. As a result, a database was created and implemented CRM with analysts and reporting. 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐬𝐭𝐚𝐜𝐤: Microsoft SQL Server, Power BI, Microsoft SSIS, Microsoft SSAS, Multidimensional Expressions (MDX), Python. 🔥 Free Consultation: I offer a complimentary initial consultation to discuss your needs and demonstrate my expertise in Microsoft Power BI. Feel free to send me a message for a free consultation!