Certified Data Engineer with over 8 years of expertise in Data Warehousing, ETL, Big Data, and Data Visualization. I have a proven record of delivering high-quality, on-time projects across industries like healthcare, e-commerce, and real estate. My broad experience and technical proficiency allow me to design tailored data solutions that align with specific business needs, helping organizations gain actionable insights and optimize operations. 🔍 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 / 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐢𝐧𝐠: Skilled in designing robust Enterprise Data Warehouses (EDW) using ETL tools and databases for secure, scalable data solutions. 𝐄𝐓𝐋 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬: Proficient in developing reliable ETL pipelines and integrating diverse data sources for quality, consistent data flow. 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 & 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: Experienced with Big Data technologies like Hadoop and cloud platforms such as GCP, Azure, and AWS, ensuring efficient, scalable data processing. 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Adept at creating impactful dashboards using tools like Tableau, Power BI, and Looker Studio, turning complex data into actionable insights. 🔧 𝐒𝐤𝐢𝐥𝐥𝐬: 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Vertica, MySQL, BigQuery, Redshift, IBM DB2, Neo4J, SQL Server 𝐄𝐓𝐋 & 𝐃𝐚𝐭𝐚 𝐈𝐧𝐠𝐞𝐬𝐭𝐢𝐨𝐧 𝐓𝐨𝐨𝐥𝐬: Talend Open Studio, IBM InfoSphere DataStage, Pentaho, Airflow, Data Build Tool (dbt), Kafka, Spark, AWS Glue, Azure Data Factory, Google Cloud Dataflow, Stitch, Fivetran, Howo 𝐁𝐈 𝐓𝐨𝐨𝐥𝐬:Tableau, Power BI, Looker Studio 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: SQL, Python 𝐂𝐥𝐨𝐮𝐝 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: GCP, AWS, Azure, API Integration (Screaming Frog, AWR, Google Ads, Citrio Ads, Hubspot, Facebook, Apollo) and analytics tools like GA4, Google Search Console) 📚 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: 𝟏. Vertica Certified Professional Essentials 9.x 𝟐. IBM DataStage V11.5.x 𝟑. Microsoft Power BI Data Analyst (PL-300) 𝟒. Vertica Certified Professional Essentials 9.x 𝟓. GCP Professional Data Engineer 𝟔. IBM DataStage V11.5.x 💡 𝐖𝐡𝐲 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐞 𝐰𝐢𝐭𝐡 𝐌𝐞? 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐏𝐫𝐨𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: I leverage the latest in data engineering and visualization tools to ensure optimal project performance. 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐖𝐨𝐫𝐤 & 𝐄𝐱𝐜𝐞𝐥𝐥𝐞𝐧𝐜𝐞: Committed to delivering high-quality, dependable solutions that consistently exceed expectations and support sustainable growth. 𝐂𝐫𝐨𝐬𝐬-𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: My experience spans multiple industries, allowing me to customize solutions to fit diverse business needs. Let’s connect and explore how I can help you achieve your data goals!

Struggling to understand your marketing data or track conversions accurately? I help businesses fix tracking, automate reporting, and turn raw data into revenue-driving insights. 🥇 Top-Rated Plus | 100% Job Success 📊 1,000+ Dashboards & Reports Delivered 🌎 200+ Successful Projects | 75% Repeat Clients 🔍 I Specialize In: 1. Marketing Analytics & Tracking GA4 setup & migration Google Tag Manager (GTM) Server-side tracking Cross-domain tracking Measurement Protocol & offline conversions First-party data tracking 2. Conversion Tracking & Attribution Google Ads conversion tracking Meta (Facebook/Instagram) CAPI LinkedIn, TikTok, Pinterest tracking Custom attribution models PMax & dynamic remarketing setups 3. Data Visualization & Dashboards Looker Studio Tableau Power BI Automated KPI dashboards Excel/Google Sheets reporting 4. Data Engineering & Automation BigQuery SQL (complex models, event-level data, joins) DBT, Fivetran, Stitch, Supermetrics, Windsor.ai Automated ETL pipelines & data warehouses 5. E-commerce Tracking & Analytics Shopify, WooCommerce, Magento, BigCommerce, PrestaShop Enhanced e-commerce tracking Funnel analysis & CRO insights 6. SEO & Web Analytics Keyword performance tracking Organic traffic reporting Google Search Console analysis 💡 Why Clients Hire Me: ✔ Accurate Tracking — I fix broken tracking, dedupe conversions, and make data trustworthy ✔ Better Decisions — Custom dashboards that reveal revenue drivers ✔ AI-Powered Insights — Predictive metrics & automated anomaly detection ✔ Faster Reporting — Automation saves 10+ hours/week ✔ Cross-Industry Experience — E-commerce, SaaS, DTC, B2B, Lead Gen 🧠 My Core Tech Stack Tracking & Analytics: GA4, UA, GTM, Server-Side, CAPI Data & Automation: BigQuery, SQL, DBT, Fivetran, Stitch, Supermetrics Dashboards: Looker Studio, Tableau, Power BI Ads Platforms: Google Ads, Meta, LinkedIn, TikTok, Twitter E-commerce: Shopify, WooCommerce, BigCommerce, Magento SEO Tools: GSC, SEMrush, Ahrefs 📬 Let’s Work Together Need precise tracking, smart dashboards, and actionable insights to grow faster? Reach out, and I’ll set up a dependable analytics system designed to maximize ROI.

Most data consultancies fall into one of two camps: strategy firms that hand you a slide deck and walk away, or implementation shops that sit around waiting for you to tell them exactly what to build. Neither works if you're a mid-market company with zero to two data hires. At Data-Sleek, we own the full path from data strategy through AI enablement so you don't have to hire a team to do it well. You shouldn't have to hire a Head of Data just to start. My name is Franck Leveneur. 𝗜 𝗯𝗿𝗶𝗻𝗴 𝟯𝟬+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗵𝗮𝗻𝗱𝘀-𝗼𝗻 𝗱𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲. Since 2018, I've taught Data Management at the UCLA Anderson School of Management for the Master of Science in Business Analytics (MSBA) program. I founded Data-Sleek in 2020 as a boutique consulting firm built around this exact gap in the market. On Upwork, we've earned over $𝟓𝟎𝟎,𝟎𝟎𝟎 𝐚𝐜𝐫𝐨𝐬𝐬 𝟏𝟑𝟗 𝐜𝐨𝐦𝐩𝐥𝐞𝐭𝐞𝐝 𝐣𝐨𝐛𝐬. Clients consistently tag my work as "Committed to Quality," "Solution Oriented," and "Clear Communicator." When you work with me, you're not getting a junior freelancer learning on your dime; you're getting a 𝐛𝐚𝐭𝐭𝐥𝐞-𝐭𝐞𝐬𝐭𝐞𝐝 𝐯𝐞𝐭𝐞𝐫𝐚𝐧 who has built data ecosystems for high-growth companies like Numerade, Digital Asset Research, and Johns Hopkins, among 15+ others. ──────── 🚨𝐓𝐇𝐄 𝐏𝐑𝐎𝐁𝐋𝐄𝐌 𝐖𝐄 𝐒𝐎𝐋𝐕𝐄 Your company has data - a lot of it. But: 1. Your systems don't talk to each other (ERP, CRM, EHR, TMS - all siloed) or you don’t know where to start Comment end 2. KPI reporting takes too long, and nobody quite trusts the numbers 3. You want to use AI and predictive analytics, but your data isn't ready 4. You've tried BI tools. You still don't have real answers. This is not a tool problem. It's a foundation problem. And that's exactly what we fix. 🚀 𝐇𝐎𝐖 𝐖𝐄 𝐖𝐎𝐑𝐊 - 𝐓𝐇𝐄 𝐅𝐎𝐔𝐑-𝐏𝐈𝐋𝐋𝐀𝐑 𝐅𝐑𝐀𝐌𝐄𝐖𝐎𝐑𝐊 We guide clients through a structured data journey. You can engage at any stage: 1. Data Strategy (Discovery & Alignment, optional but recommended) Data inventories, AI readiness assessments, architecture design, and strategic roadmaps. 2. Data Centralization (Integration & Governance) Single source of truth via Snowflake, BigQuery, or Redshift connected through Fivetran and governed pipelines. 3. Data Transformation (Modeling & Preparation) dbt consulting, semantic layers, and ETL/ELT pipelines that model your data for analysts and AI. 4. Data Activation (Insights, Prediction & AI) BI, Tableau dashboards, predictive analytics, and ML wherein raw data turned into real business outcomes. DATA WAREHOUSE CONSULTING SERVICES Struggling with complex data warehousing projects can hinder your company’s ability to scale. Our data warehouse consulting services are tailored to address your business’s data needs. 🙅🏼‍♂️ 𝐃𝐀𝐓𝐀𝐁𝐀𝐒𝐄 𝐄𝐗𝐏𝐄𝐑𝐓𝐈𝐒𝐄 - 𝐓𝐇𝐄 𝐓𝐇𝐈𝐍𝐆 𝐌𝐎𝐒𝐓 𝐂𝐎𝐍𝐒𝐔𝐋𝐓𝐀𝐍𝐂𝐈𝐄𝐒 𝐂𝐀𝐍'𝐓 𝐃𝐎 Unlike modern data stack consultancies that only know cloud tools, we know how the underlying transactional systems actually work. I have 15+ years as a Senior MySQL DBA and deep expertise across: ➝ MySQL & AWS Aurora ➝ PostgreSQL ➝ ClickHouse ➝ MS SQL Server ➝ SingleStore Performance tuning, partitioning, replication, and scaling, not just dashboards on top of messy data. 🏭 𝐈𝐍𝐃𝐔𝐒𝐓𝐑𝐈𝐄𝐒 𝐖𝐄 𝐒𝐏𝐄𝐂𝐈𝐀𝐋𝐈𝐙𝐄 𝐈𝐍 ➔ Construction ➔ Healthcare ➔ Higher Education ➔ Insurance ➔ Transportation ➔ SaaS ➔ EdTech ➔ FinTech We have dedicated playbooks, industry-specific data models, and named case studies in each. If your company is in one of these five, we've already solved your problem before. 💯 𝐏𝐑𝐎𝐕𝐄𝐍 𝐑𝐄𝐒𝐔𝐋𝐓𝐒 🏆 Johns Hopkins (Higher Education): Data warehouse architecture consulting reduced reporting time by 40% and increased data accuracy by 35% within the first year. 🏆 Numerade (EdTech): Redesigned database schema and ETL processes - query times dropped from several minutes to sub-second, system outages eliminated, scaled to unlimited concurrent users, subscriber growth followed. 🏆 Digital Asset Research (FinTech/Crypto): Built a real-time ingestion pipeline handling 40 million rows daily (250M+ trades). Client expanded their client base by 600% and captured the largest market share in their category. 💡 𝐀𝐈 𝐑𝐄𝐀𝐃𝐈𝐍𝐄𝐒𝐒 𝐀𝐒𝐒𝐄𝐒𝐒𝐌𝐄𝐍𝐓 - 𝐓𝐇𝐄 𝐑𝐈𝐆𝐇𝐓 𝐖𝐀𝐘 𝐓𝐎 𝐒𝐓𝐀𝐑𝐓 𝐀𝐈 Most AI projects fail because the data foundation underneath them isn't ready; not because AI is hard. If you want predictive analytics, ML models, or intelligent automation, start here: → Fixed-fee engagement · 4-6 weeks · Clear deliverable: which AI use cases your data can support today, and the roadmap to support more. ──────── 🌱 𝐋𝐄𝐓'𝐒 𝐆𝐄𝐓 𝐒𝐓𝐀𝐑𝐓𝐄𝐃 We always start with a free initial consultation to scope the work properly before any engagement begins. Send a message - let's see if we're a fit!

I help organizations transform fragmented, siloed data into scalable, high-performance cloud data platforms that support clear reporting and better decision making. My focus is on building systems that are structured, scalable, and designed to support long-term growth. With 6+ years of experience across AWS, Google Cloud, and Azure, I design and implement end-to-end data solutions, from ingestion and transformation to warehouse modeling, analytics, and AI-driven insights. I do not just build pipelines. I architect resilient, scalable systems designed for growth, performance, and long-term business impact. 𝐖𝐡𝐚𝐭 𝐈 𝐝𝐨: ✅Design and deploy AWS serverless solutions using Lambda, API Gateway, DynamoDB, S3, and VPCs ✅Build robust ETL pipelines with AWS Glue, Redshift, Kinesis Firehose, and Snowflake ✅Unified analytics platforms (Shopify, Salesforce, HubSpot, Notion, IoT, Marketing APIs) ✅AI-driven data systems including RAG architectures, natural language to SQL solutions, LangChain and OpenAI integrations, vector databases such as FAISS, Chroma, and Qdrant, and AI-powered analytics applications. ✅Develop CI/CD pipelines with CodePipeline, CodeBuild, Jenkins, automating deployment and testing ✅Implement real-time streaming solutions using Apache Kafka and Google Pub/Sub ✅Optimize database performance with MySQL, MongoDB, RDS, and ElasticCache ✅Ensure cloud security and monitoring with IAM, CloudWatch, Trusted Advisor, and Elasticsearch 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐤𝐢𝐥𝐥𝐬: 🔹Languages & Scripting: Python, Node.js, JavaScript, Bash/Shell 🔹Cloud: AWS, GCP, Azure 🔹DevOps & Automation: CodeBuild, CodePipeline, Jenkins, CI/CD 🔹AI: LangChain, OpenAI API, Vector Databases 🔹Streaming: Kafka, Kinesis, Pub Sub 🔹Data Warehousing & Analytics: Snowflake, Redshift, BigQuery, Synapse 🔹Operating Systems: RHEL, Ubuntu Linux 🔹Orchestration: Airflow, dbt 🔹Infrastructure as Code: Terraform Whether you need data pipelines, BI dashboards, serverless apps, or ETL optimization, I deliver clean, maintainable, and high-performing solutions tailored to your business goals. 👉 Ready to make your data work harder for your business? 𝐋𝐞𝐭’𝐬 𝐜𝐨𝐧𝐧𝐞𝐜𝐭 and build something smart together.

With a rich 25-year trajectory in Data Engineering, Project Management, and Business Analysis, I thrive on designing and orchestrating end-to-end data processes that propel informed decision-making and strategic innovation. My expertise spans across architecting robust databases, fine-tuning ETL pipelines, and unveiling actionable insights through advanced analytics and data science. The realm of data isn’t just a profession; it’s a landscape where my curiosity and technical acumen come alive. Every dataset tells a story, every project illuminates a path to organizational excellence. Whether in the financial sector or diverse industries, my approach remains the same: to dive into the data deluge, extract value, and drive forward the narrative of data-driven success. My professional journey has afforded me the privilege of contributing to major customers and projects, including but not limited to engagements with MAN SE, IBM, Atos, Allianz, and VISA Switzerland, among others. Each endeavor has not only been a chapter of learning and innovation but a testament to the transformative power of data when harnessed effectively. I welcome the opportunity to discuss how my background, skills, and experience can be aligned with your challenges. Feel free to get in touch to explore collaborative possibilities.

Profile Overview I help businesses turn complex data into clear insights, automated pipelines, and AI-powered solutions. I’m a Senior Data & AI Engineer with 9+ years of experience delivering enterprise-scale data warehouse, BI, and analytics solutions for clients in the US and international markets. My work sits at the intersection of data engineering, business intelligence, and applied AI — helping organizations make faster, smarter decisions. Over the years, I’ve designed and implemented end-to-end data platforms, from raw data ingestion and transformation to executive dashboards and advanced analytics. More recently, I’ve expanded into AI, LLM-based solutions, Python automation, and Microsoft Dynamics 365 integrations, enabling clients to modernize their data ecosystems. What I Do Best ✔ Enterprise-grade ETL pipelines using Pentaho Data Integration ✔ Data warehouse design, modeling, and optimization ✔ High-volume data processing with MySQL & PostgreSQL ✔ Reliable, scalable, and maintainable data workflows ✔ Executive and operational dashboards in Tableau & Power BI ✔ KPI design, performance tracking, and decision-focused reporting ✔ Translating business requirements into actionable insights ✔ Python-based data automation and web scraping ✔ LLM-powered solutions for analytics, reporting, and internal tools ✔ AI-assisted data processing and insight generation ✔ Custom scripts to reduce manual work and improve efficiency ✔ Microsoft Dynamics 365 (D365) data extraction, integration, and reporting ✔ Analytics and BI layers on top of business applications Industries & Experience ✔ Real Estate & Property Analytics ✔ Retail, E-commerce & Merchandising ✔ Healthcare Reporting & Analytics ✔ Finance, Accounting & MIS Reporting ✔ Sales, CRM & Revenue Analytics ✔ Marketing & Performance Dashboards ✔ Operations & Supply Chain Analytics ✔ Enterprise Data Warehouse & BI Systems Why Clients Work With Me ✔ Proven long-term client relationships ✔ Strong analytical mindset with business-first thinking ✔ Clean, documented, and scalable solutions ✔ Professional communication and on-time delivery ✔ Experience working independently or with distributed teams Let’s Work Together If you’re looking for someone who can own your data stack, modernize it with AI and automation, and deliver insights your business can actually use — let’s connect.

The experience and skillset I bring as a Microsoft Solutions Partner in Data & AI helps businesses transform their current systems and initiatives into a clean, structured, and repeatable digital strategy. 📈 Microsoft Fabric, AI Foundry, Copilot Studio, Power BI, Power Platform, Azure Cloud 📈 Data Analytics, Data Modelling, Dashboard Design, ETL Pipelines, Automated Reports I am committed to enabling my clients to gain insights, streamline operations, and enhance their competitive edge in a meaningful way specific to their business. ------- How do I help clients? ------- I assess current workflows and provide best-practice guidance and recommendations based on the latest technology. I integrate deeply into your operations, and work to understand the challenges of existing systems to deliver customized, scalable solutions that eliminate inefficiencies. My personal favourite client quotes (please refer to past projects below): ✔️ It's rare that you come across standout talent like Scott ✔️ Exceptionally competent, quick, and professional ✔️ Scott is one of the best contractors I've worked with over the last 30 years ✔️ His work followed best practices to be easily updated and modified ✔️ I have placed him in my short list for future projects ------- Tools & Frameworks ------- Microsoft – Excel VBA, Macros, AddIns, Copilot Studio, SQL, Power Platform Power BI – DAX, M Language, API Connections, Fabric, Power Query Python – Web Scraping, Statistics, Django, React, Financial Modeling Azure – Data Factory, App Services, Functions, Databricks, Synapse, AI, ETL Other - Zapier, CRM and QBO Integrations, Google Analytics, Google Sheets It would be great to discuss your project further and get to know you and your business. I’m available weekdays 8am-5pm (Eastern Time) for a video call. I look forward to hearing from you! Kind regards, Scott ------- Professional Certifications ------- Bachelor of Engineering from the University of Guelph Microsoft Solution Partner in Data & AI Microsoft Certified Azure Fundamentals Microsoft Certified Data Analyst

I build production AI systems and the software they run on. 15 years in .NET and the Microsoft stack, with the last two focused on shipping real AI: Claude-powered agents, MCP servers, RAG pipelines and workflow automation that businesses depend on daily. AI AND LLM ENGINEERING - Production multi-agent Claude systems: intent routing, structured outputs, human approval gates, cost tracking, audit logging - MCP servers exposing business operations as controlled, callable tools with real authorization boundaries - RAG and vector search (Postgres/pgvector) with strict citation discipline, built to say "not found" rather than invent - OCR and document extraction pipelines (Mistral, Claude) turning messy PDFs into structured data - AI customer support and enquiry bots answering from a knowledge base, with escalation to humans - Browser and workflow automation (Skyvern, Playwright), Twilio AI calling, email agents via Microsoft Graph - AI-first development with Claude Code as a daily driver, with the discipline to review and verify everything that ships .NET AND ARCHITECTURE - .NET Framework through .NET 10: ASP.NET Core, Blazor, MVC, Web API, Minimal APIs, EF Core - Multi-tenant SaaS architecture, event sourcing, row-level security, immutable audit trails. Sole architect on an FCA-regulated platform that ran seven years in production - Cloud: Azure (Functions, Key Vault, Service Bus, Event Grid) and GCP (Cloud Run, Cloud SQL, Pub/Sub, Secret Manager) - Legacy modernization: Web Forms, Classic ASP, VB.NET and .NET Framework carried to modern .NET, using strangler-fig so systems stay live throughout FRONTEND, DESKTOP AND MOBILE - Angular, React, TypeScript, Next.js, Blazor, Tailwind, D3 - WPF, WinForms, Windows services and workers, UDP/TCP servers - MAUI and Flutter mobile apps, published Chrome extensions with 200,000+ users and Featured badges on the Chrome Web Store INTEGRATIONS - Stripe, Microsoft Graph, Shopify, Xero, QuickBooks, HubSpot, Klaviyo, eBay, Epic and Cerner FHIR, HAPI FHIR, and a long list of others. Bridging messy third-party systems behind clean internal contracts is a large part of what I do. I work solo, take projects end to end, and prefer long-term engagements. Most of mine have run multi-year. Available immediately, fully remote, EET (UTC+2) with full UK and European overlap. Also partial overlap with US EST hours. Portfolio: codebydaniel.net

🏆 Top Rated Plus 🌟 100% Job Success 🤝 Satisfied Clients ⏱ Quick Turnaround 📞 Clear Communication Why work with me? Proven Experience: 💎 Backed by 15+ years of delivering results through scalable, cost-efficient data solutions. Technical Expertise: 💎 AI-Data Architecture: I deliver real-world-ready data through automated, reliable pipelines. The new AI era requires a new data platform. 💎 Conversational Analytics & AI Agents: Enable users to chat with their data through AI-driven interfaces. Google Conversational Analytics API and Gemini Enterprise 💎 Data Visualization: Skilled in Looker, Looker Studio, Power BI, Tableau, Superset, and others. 💎 Data Web Portals: Skilled in developing custom embeddable solutions and full web platforms under your own brand and domain. 💎 Database Management: Expertise in SQL (BigQuery, SQL Server, Oracle, MySQL, PostgreSQL, Snowflake) and NoSQL systems. 💎 ETL: Experience with both streaming and batch pipelines using Airflow, Apache Beam, Kafka, Debezium, Pub/Sub, and others. 💎 Data Modeling: Proficient with dbt, Dataform, and PySpark. 💎 Version Control: Comfortable with Git-based tools (GitHub, Bitbucket, GitLab, Azure DevOps). 💎 Cloud Platforms: Certified and experienced in GCP, AWS, and Azure. 💎 Unstructured Data: JSON, XML, Excel, Google Sheets. 💎 GA4 Data: Google Analytics 4 for advanced analysis. Soft Skills & Work Ethic: 💎 Versatile & Adaptive: Quick to learn new tools, roles, and business domains. 💎 Value-Driven: Focused on delivering high-impact outcomes with cost-efficiency. 💎 Detail-Oriented: Committed to precision and quality in every task. 💎 Reliable & Time-Conscious: Consistent delivery of high-quality work on time. 💎 Leadership: Capable of guiding teams and leading initiatives when needed. 💎 Analytical: Skilled at breaking down complex problems and finding effective solutions. 💎 Collaborative: Strong team player, effective in multidisciplinary environments. Scalable Technical Capacity: I’m supported by a network of 15+ specialists, including Solution and Data Architects, Developers, Designers, Process Specialists, DevOps Engineers, Machine Learning Engineers, Data Scientists, Data Analysts, and more. We work collaboratively to ensure your project receives the strongest possible technical support, from strategy to execution. How I approach projects: - Kick-off meeting to review requirements and deliverables - Action plan development using a project management tool - Weekly demo meetings to showcase progress - Detailed time and task tracking - Continuous feedback loop to ensure alignment and improvement - Complete documentation of the solution

Struggling with slow, unreliable data pipelines, rising cloud costs, or a data stack that can't keep up with your AI initiatives? I help businesses fix exactly that. I'm a Senior Data Engineer with hands-on experience helping businesses design, build, and scale reliable data infrastructure across Azure, GCP, and AWS. I specialize in end-to-end ETL/ELT pipelines, real-time data processing, and cloud-native data architecture using PySpark, Python, SQL, Databricks, and BigQuery. Across 21+ completed projects on Upwork, I've delivered more than $100K in data engineering solutions, including systems processing over 10 million records with performance improvements of up to 40%. My work spans automated ingestion frameworks, CRM and analytics integrations, RAG-based LLM pipelines, and cloud cost optimization without sacrificing performance. Clients consistently point to my clear communication, reliability, and commitment to quality, reflected in my 100% Job Success score and Top Rated Plus status. Whether you need a pipeline built from scratch, an existing data stack optimized, or an ongoing data engineering partner, I bring the technical depth and communication needed to get projects delivered on time and on budget. If you have a data challenge, let's connect and discuss how I can help move your project forward.