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I am Data Architect/Snr. Data Engineer with 12 years experience with RDBMS/NoSQL databases and processing large amounts of data. My experience related to enterprise level and high profile projects in the past, but now I'm helping startups and small-mid sized companies to achieve their goals! My core competences are: Data Modelling, Data Architecture on Cloud platforms, Database development, ETL and Business Intelligence, Database Administration Solution Architecture : Design of solution architectures for a data processing systems of various scale and purpose. Definition of up-to-date technical solutions including data storage, network, data processing (ELT/ETL), BI and AI/ML components. Process and methods definitions and optimizations. AI/ML : Amazon AI Services, LLM Integration (OpenAI, Gemini), AWS Bedrock, AWS Sagemaker, pgvector, Databricks Mozaic Data Modelling : Modelling of OLTP and Datawarehouse systems. It could be design of new schema, normalization/denormalization of existing model, Enterprise datawarehouse design based on Kimball/Inmon, Data Lake and Data Vault architectures, Modernization of existing data landscape. Data Lakes : Modern datalakes built on cloud storages as GCS/S3/Azure Datalake Gen2 with Databricks, AWS Glue, Trino, Apache Iceberg DBA Activities : DB migrations, Backup & Recovery, Upgrades, Instance configurations, DB Monitoring, Horizontal scaling, Streaming/BDR replications. Sharding with postgreSQL extensions. Data Integration and ETL : Traditional batch ETL - Informatica, Talend, AWS Datapipeline, Matillion ETL Serverless ETL - AWS Lambda, AWS Glue, Batch, AWS DMS, Google Cloud Functions, Databricks Streaming ETL - Apache NiFi, Kafka, Kinesis streams SaaS ETL - Stitch, Alooma, Fivetran, Airbyte BI/data layers - dbt/Prefect Direct loading with DBMS tools & scripting Data Governance and MDM: Design and implementation of solutions based on Informatica DG/MDM, Alation, Atlan, custom dataquality solutions. BI Systems : Design of BI systems and implementation. I had experience with major industry leading tools as Tableau, PBI, Looker and cloud alternatives. Additionally i had experience with old-style reporting solutions from SAP, Qlick, Jasper. Cloud containerization and deployment : Docker, Mesos/Kubernetes Java development : EE/SE , Spring, Hibernate, RESTful APIs, Maven Clouds : - Cloud migrations (AWS, Azure, GCP) - Cloud infrastructures (VPCs, EC2, Loadbalancing, Autoscaling, Security in AWS/GCP) Please note that minimum engagement is part-time (20 hrs/week) and month long, this will ensure the quality of delivered solution and mutual benefit. Thank you for getting to the end of this boring details and looking forward working on exciting projects together :) Best Regards, Yegor.

𝐈 𝐛𝐮𝐢𝐥𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧-𝐠𝐫𝐚𝐝𝐞 𝐝𝐚𝐭𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐟𝐨𝐫 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐝𝐞𝐚𝐥𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐛𝐫𝐨𝐤𝐞𝐧 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐬𝐜𝐚𝐭𝐭𝐞𝐫𝐞𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬, 𝐬𝐥𝐨𝐰 𝐫𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐮𝐧𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐦𝐞𝐭𝐫𝐢𝐜𝐬. I’m a Senior Data Engineer with 10+ years of experience building cloud data platforms, ETL/ELT pipelines, lakehouses, warehouses, and analytics-ready data layers using Microsoft Fabric, Snowflake, AWS, BigQuery, dbt, Python, SQL, Airflow, Fivetran, Airbyte, and Databricks. My focus is not just moving data from point A to point B. I design reliable data systems that are automated, scalable, well-modeled, and trusted by business teams. 𝐖𝐡𝐚𝐭 𝐈 𝐡𝐞𝐥𝐩 𝐰𝐢𝐭𝐡 ✅ 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐚𝐛𝐫𝐢𝐜 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Lakehouse, Warehouse, Dataflows Gen2, pipelines, notebooks, semantic models, Medallion architecture, and Power BI-ready data layers. ✅ 𝐂𝐥𝐨𝐮𝐝 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 Snowflake, BigQuery, Redshift, Databricks, PostgreSQL, SQL Server, and Azure Synapse architecture. ✅ 𝐄𝐓𝐋/𝐄𝐋𝐓 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 API ingestion, database replication, SaaS integrations, file ingestion, batch jobs, incremental loads, and scheduled workflows. ✅ 𝐝𝐛𝐭 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Staging, intermediate, marts, incremental models, tests, documentation, metric definitions, and business logic standardization. ✅ 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 Airflow, Dagster, AWS Lambda, Glue, Step Functions, ADF, CI/CD, monitoring, retries, alerts, and production workflow automation. ✅ 𝐃𝐚𝐭𝐚 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 & 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 Deduplication, reconciliation, schema drift handling, validation rules, MDM, Golden Record logic, RBAC, access control, and audit-ready reporting layers. 𝐑𝐞𝐜𝐞𝐧𝐭 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐅𝐚𝐛𝐫𝐢𝐜 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Built a centralized Fabric platform with Lakehouse, Warehouse, Dataflows, pipelines, semantic models, and Power BI reporting layers for a global organization with fragmented reporting sources. 𝐍𝐞𝐚𝐫 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐒𝐧𝐨𝐰𝐟𝐥𝐚𝐤𝐞 𝐝𝐚𝐭𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 Designed operational pipelines into Snowflake with incremental ingestion, schema change handling, deduplication, retries, and reliable dbt-based reporting models. 𝐌𝐨𝐝𝐞𝐫𝐧 𝐒𝐚𝐚𝐒 𝐝𝐚𝐭𝐚 𝐬𝐭𝐚𝐜𝐤 Centralized HubSpot, Stripe, GA4, Google Ads, Salesforce, MongoDB, and product data into BigQuery/Snowflake using Fivetran, Airbyte, dbt, Dagster, and Metabase. 𝐋𝐞𝐠𝐚𝐜𝐲 𝐦𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐭𝐨 𝐜𝐥𝐨𝐮𝐝 𝐰𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐞 Led migrations from SQL Server, SAP BW, Oracle, Hadoop, and on-prem systems into modern cloud warehouses with optimized performance and automated workflows. 𝐀𝐖𝐒 𝐝𝐚𝐭𝐚 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 Built automated workflows using S3, Lambda, Glue, Step Functions, IAM, SNS, CloudWatch, and Python to reduce manual reporting and improve pipeline reliability. 𝐓𝐨𝐨𝐥𝐬 𝐈 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 Microsoft Fabric, Snowflake, BigQuery, Redshift, Databricks, Azure Synapse, PostgreSQL, SQL Server, Oracle, SAP BW, Hadoop, dbt, Python, SQL, Airflow, Dagster, Fivetran, Airbyte, ADF, SSIS, Talend, AWS S3, Lambda, Glue, Step Functions, IAM, SNS, CloudWatch, Power BI, Tableau, Metabase, and Looker. You should reach out if you need a senior data engineer to: ✅ Build a cloud data warehouse or lakehouse ✅ Migrate legacy systems to Snowflake, Fabric, BigQuery, or AWS ✅ Fix unreliable ETL/ELT pipelines ✅ Design dbt models and trusted reporting layers ✅ Automate manual reporting workflows ✅ Integrate APIs, CRMs, ERPs, databases, and SaaS platforms ✅ Build production-ready data infrastructure for analytics and BI If your data stack is messy, slow, or hard to trust, send me a message. I’ll help you map the cleanest path from scattered systems to a reliable data platform.

✅ 22 Years in IT | 14 Years in Executive Roles | 8+ Years in Data Analytics | TOP 1% Industry Expert 📊 150+ Successful Power BI implementations across 22+ industries in 5 countries ✅ 457 dashboards delivered in 2025, 👨‍💼 Led a team of 20 data experts, 🌎 Fluent English 💼 $12B annual revenue of clients powered by Power BI, ETL, DWH, and AI solutions Hi, I’m Dmytro – BI Solutions Manager, Senior ETL Developer, Power BI Solution Architect, Enterprise Power BI Consultant, and Digital Transformation Leader with over two decades of experience in IT, including 14 years as CIO, CTO, and CEO. I help companies unlock the true potential of their data through end-to-end Power BI implementation, scalable ETL pipelines, and enterprise-grade Power BI dashboards. My career spans 150+ successful projects across finance, logistics, manufacturing, healthcare, retail, e-commerce, and more — delivering Power BI-driven decision intelligence systems that transform raw data into executive insights. I combine deep technical expertise with strategic thinking and business acumen to deliver high-impact Power BI reporting ecosystems. 🧠 Why Clients Choose Me 🏆 TOP 1% of BI Experts according to USCIS 🎓 Power BI Certified Trainer & Mentor 📈 Proven success in Power BI-based executive dashboards and data-driven decision-making 🔧 Technical Stack & Expertise: 🚀 BI & Data Analytics Power BI (Advanced Modeling, DAX Optimization, Performance Tuning), Microsoft Fabric, Report Builder, Power Query (M), DAX, MDX, Tabular Editor, DAX Studio ETL Tools: Azure Data Factory, SSIS, Apache Spark, Databricks, PySpark, Kafka Data Platforms: SQL Server, Oracle, PostgreSQL, MySQL, BigQuery, Azure Synapse, SSAS Visualization Tools: Power BI (Enterprise Deployment & Governance), Tableau, Excel 🤵 Data Integration & Visualization Extensive experience integrating Power BI with ERP, CRM, and cloud data sources, including SQL, APIs, Excel, Google Sheets, and enterprise systems. 🤖 Data Mining & Machine Learning Delivering Power BI-integrated predictive analytics solutions using Python and Azure ML for forecasting, classification, and clustering. ☁️ Cloud & Infrastructure Azure (ADF, Synapse, Analysis Services), AWS, Office 365, Power BI Service & Power BI Premium environments 📊 Business Systems & Automation Automation and reporting powered by Power BI + Power Automate integration for real-time insights and workflow optimization. 💼 Services Offered 🔍 Power BI Development & Services Full-cycle Power BI implementation and optimization Advanced DAX & Power Query transformations Custom Power BI dashboards for executives & operations Power BI governance, security, and workspace architecture 🛠️ ETL & Data Warehouse Engineering Building pipelines that feed high-performance Power BI models 🔁 Automation & Data Integration Seamless integration enabling real-time Power BI reporting 🎓 BI Consulting & Training Power BI adoption strategy & enterprise rollout Team mentorship and workshops 📩 Ready to Transform Your Data into Strategic Insight? Launch fast with a turnkey Power BI solution, fully tailored to your business. Let’s build a modern, scalable ecosystem where Power BI becomes your single source of truth—from operational dashboards to executive-level insights.

Pell Software is a 100% US-based software development specialist based in Denver, Colorado focused on partnership and reliable, long-term support. About Us: • 100% US-based — Full-time staff, never outsourced • Prebuilt software templates — Save time & money • 70+ Perfect 5-Star Reviews! — Service-oriented approach • Long-term Partnership Focused — Collaborate directly with software engineers ———————————————————— What We Do: • API Integrations • Custom web programming • AI Development, AI-First Software Development • HIPAA compliant software & integrations • Web portals • Work management systems • Business portals & utilities • Middleware systems • eCommerce solutions • PWAs & desktop apps ———————————————————— Our Tech Stacks: • Microsoft: .NET Core, C#, VB, WebForms, MVC, Razor Pages, Blazor, Azure, MSSQL, Visual Studio, TypeScript • LAMP/WAMP: PHP, MySQL, Linux, Apache • Frontend: Vue, Angular, React, Boostrap • Ruby: Rails, Postgres • Other: git, Jira, Confluence, HTML, Javascript, jQuery, Claude Code, AI Software Development ———————————————————— Platforms & APIs: Authorize.NET, SagePay, MINDBODY Online, Brantree, PayPal, Amazon Pay, Fedex, UPS, FreightQuote, QuickBooks Online, QuickBooks Enterprise, Sage 100, Sage 300, Sage Cloud, Sage Intacct, Acumatica, ClubOS, Active Campaign, SharpSpring, Facebook, Google, FirstData, Counterpoint, Moneris Payments, Braintree, PaceJet, TaxJar, Avalara, Amazon, Facebook, Google, QuickBooks Online, MINDBODY Online, Active Campaign, SharpSpring, QuickBooks Commerce, Counterpoint, UPS, FedEx. ———————————————————— Pell Software, LLC *Check out our reviews online!*

Cloud Solution Architect with engineering experience in Cloud SQL Big Data technologies including Data Architecture to support various Business Intelligence needs. Solution Architect in Technical Teams on Cloud Data Solutions into various Cubes, Data Marts, and ERP Systems. Developed data structures for business using various Analysis Services Cubes, BI Dashboard, and Scorecards. Recent experiences include developing multiplayer AI Platform with Generative AI using AWS Bedrock for back-office CareManagement application including HealthCare. Implementations included Anthropic Claude model & Twilio Integration for Client Onboarding, Authentication, and Call Flow Management. Cloud Services Database include Snowflake Data Cloud, Azure Cloud, Go/Language (JSON and yaml) with Anaconda python programming. Migrated Data Lakes from on-prem up to SnowFlake using SnowPipe and SnowSQL using command line scripts using AI methods. Implemented standards and data designs for HIPAA, SOX, regulatory, compliance, financial, reporting, and auditing. Next generation AI development with Anthropic Claude Code, ChatGPT, Gemini, etc.

I help businesses turn raw operational data into reporting systems, dashboards, and decision tools that improve visibility, reduce risk, and support better business decisions. My work combines SQL development, data warehouse design, reporting, KPI analysis, and business-focused data interpretation. I am especially effective in environments where data exists but is difficult to use, inconsistent across systems, or not yet structured for reliable reporting. I can help with: • SQL query development and optimization • Data warehouse design and ETL structure • Reporting views and business reporting layers • Dashboard development and KPI reporting • Risk analysis and performance measurement • Data quality investigation and reconciliation I also bring strong project awareness and business context, which helps ensure technical work aligns with operational goals and real decision-making needs. Where needed, I can support custom technical solutions and software-oriented problem solving as part of broader data initiatives.