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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!

𝗜𝘀 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝗮 𝗺𝗲𝘀𝘀? 𝗦𝘁𝗮𝘆 𝗰𝗮𝗹𝗺... 𝗜 𝗰𝗮𝗻 𝘁𝘂𝗿𝗻 𝗶𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝗮𝗻𝗱 𝗴𝗲𝘁 𝘆𝗼𝘂𝗿 𝗽𝗲𝗮𝗰𝗲 𝗼𝗳 𝗺𝗶𝗻𝗱 𝗯𝗮𝗰𝗸. With over 𝟭𝟴 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 in business intelligence, I lead Dynamic Data and have completed 𝟱𝟬+ 𝘀𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀. As a Top Rated Plus freelancer and CEO, I specialize in transforming complex data into actionable insights that drive real business results. I offer 𝐒𝐎𝐋𝐔𝐓𝐈𝐎𝐍𝐒: - Fast-Track Your 𝐃𝐚𝐭𝐚 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: Launch a modern data stack in under 30 days, tailored to your budget and goals. - Seamless 𝐂𝐥𝐨𝐮𝐝 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Move your data to the cloud securely and efficiently. - 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲 the Tedious: Eliminate manual reporting processes and free up valuable time. - 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗲 for Impact: Craft stunning dashboards that tell compelling data stories and inspire action. - 𝗣𝗿𝗲𝗱𝗶𝗰𝘁 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 with Your Data: Harness the power of machine learning for predictive analytics, customer insights, and more. - 𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: Empower your team to ask questions in plain language and get instant answers from your data. - Tame Your Data Chaos: Establish 𝗗𝗮𝘁𝗮 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 to ensure accuracy and consistency across your organization. - Master 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 𝗔𝘁𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗼𝗻: Gain a unified view of your marketing performance and ROI, with expertise in GA4 and Google Tag Manager. Why Work with Me? ✔️ Satisfaction Guarantee: If you’re not happy in the first two weeks, 𝐭𝐡𝐞𝐫𝐞’𝐬 𝐧𝐨 𝐜𝐡𝐚𝐫𝐠𝐞. 🧏 Flexible Budget: I work with budgets to 𝐟𝐢𝐭 𝐲𝐨𝐮𝐫 𝐧𝐞𝐞𝐝𝐬. 👨‍💻 Versatility: My 𝐭𝐞𝐚𝐦 and I can tackle any data-related challenge. 🥇Proven Success: As a 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬 freelancer on Upwork with a 100% job success rate, I consistently receive 𝟓-𝐬𝐭𝐚𝐫 𝐫𝐚𝐭𝐢𝐧𝐠𝐬 for my ability to understand and exceed client expectations. 👔 My Experience: I’ve helped businesses across 𝐯𝐚𝐫𝐢𝐨𝐮𝐬 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬, including B2B web consulting, real estate, retail, waste management, and healthcare, to unlock the full potential of their data. I believe in data’s power to transform businesses. If you’re looking for a long-term, trust-based partnership, I’m eager to collaborate with you! Ready to unlock the hidden value in your data? 𝐂𝐨𝐧𝐭𝐚𝐜𝐭 𝐦𝐞 𝐭𝐨𝐝𝐚𝐲! Expertise: Data Warehouses: Redshift, BigQuery, Snowflake, Databricks BI/Visualization Tools: Looker Studio, Power BI, Tableau, Sigma, Metabase, Superset ETL/ELT: Airflow, Dagster, Stitch, Fivetran, DBT Languages: SQL, Python.

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.

Hi, I'm Owais. I've spent 6+ years building data systems across enterprise and startup environments. I've set up entire data platforms from end-to-end on AWS, Azure, and GCP, including in SOC 2 and HIPAA environments. I've built ETL pipelines that don't break at 3 AM, modeled warehouses that survive contact with real business logic, and shipped dashboards people actually open. These days I help growth-stage startups build analytics platforms around AI without bleeding money on it. Natural language to SQL, agents that surface insights instead of waiting to be asked, automated anomaly detection, the kind of features your customers are starting to expect. Most AI-in-analytics projects don't fail because the model isn't good enough. They fail because the foundation underneath it is a mess. A well-documented dbt project does more for AI accuracy than a bigger LLM, and if your dashboards aren't getting opened, adding AI on top doesn't change anything. If you're trying to build AI-powered analytics and want someone who's done the unglamorous work that makes it actually useful, let's talk.

✅ 𝗪𝗼𝗿𝗸𝗲𝗱 𝗪𝗶𝘁𝗵: 𝗧𝗵𝗲 𝗛𝗼𝗺𝗲 𝗗𝗲𝗽𝗼𝘁, 𝗖𝗵𝗶𝗰𝗸-𝗳𝗶𝗹-𝗔, 𝗕𝗼𝘀𝘁𝗼𝗻 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴 𝗚𝗿𝗼𝘂𝗽 🇺🇸 𝗨𝗦 𝗠𝗮𝗿𝗸𝗲𝘁 𝗖𝗹𝗶𝗲𝗻𝘁 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 ⌚ 𝗦𝗮𝗺𝗲-𝗗𝗮𝘆 𝗖𝗹𝗶𝗲𝗻𝘁 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗲 𝗧𝗶𝗺𝗲, 𝗠𝗼𝗻𝗱𝗮𝘆 𝗧𝗵𝗿𝗼𝘂𝗴𝗵 𝗙𝗿𝗶𝗱𝗮𝘆 ⌛ 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗦𝗮𝘃𝗲 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝟭𝟮+ 𝗛𝗼𝘂𝗿𝘀 𝗣𝗲𝗿 𝗪𝗲𝗲𝗸 𝗢𝗻 𝗔𝘃𝗲𝗿𝗮𝗴𝗲 🎯 $𝟮𝗠+ 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗮𝗻𝗱 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱. 𝟭𝟬𝟬𝗠+ 𝗧𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝘀 𝗔𝗻𝗮𝗹𝘆𝘇𝗲𝗱 ☑️ 𝗪𝗼𝗿𝗸 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 𝗢𝗻-𝗧𝗶𝗺𝗲 𝗘𝘃𝗲𝗿𝘆-𝗧𝗶𝗺𝗲 🏅 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲, 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜, 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 & 𝗦𝗶𝗴𝗺𝗮 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 Hi, I’m Linus, and I help US-based SMBs turn messy, disconnected data into reliable data pipelines and reporting, so leadership can get accurate answers without chasing spreadsheets or rebuilding reports every week. I specialize in data engineering and data analytics using Snowflake, Google BigQuery, dbt, SQL, Python, Fivetran, AWS, Microsoft Fabric, Power BI, Tableau, Sigma, and APIs. I build the complete path from raw source data to usable business reporting: data ingestion, ETL and ELT pipelines, warehouse architecture, data modeling, transformations, validation, semantic layers, dashboards, and recurring reporting. My data engineering work focuses on creating reliable systems that can be maintained and trusted. My data analytics work focuses on giving leadership clear answers about profitability, customers, operations, marketing, sales, and performance. 𝗪𝗲’𝗹𝗹 𝗴𝗲𝘁 𝗮𝗹𝗼𝗻𝗴 𝗴𝗿𝗲𝗮𝘁 𝗶𝗳 𝘆𝗼𝘂 𝘃𝗮𝗹𝘂𝗲… ✅ Reliable data pipelines instead of fragile manual exports ✅ Clear estimates and transparent communication ✅ Data models and business metrics your team can understand and audit ✅ Data analytics that helps you find revenue opportunities, control costs, and catch operational problems sooner 𝗪𝗵𝘆 𝘆𝗼𝘂 𝗺𝗮𝘆 𝗲𝗻𝗷𝗼𝘆 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗺𝗲 𝗼𝘃𝗲𝗿 𝗺𝘆 𝗰𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗼𝗿𝘀: • I’ll tell you what’s feasible, what isn’t, and share realistic timing. • I can work across the full data stack, from APIs, SQL, Python, and dbt through Snowflake, Google BigQuery, Power BI, Tableau, and Sigma. • I’ve worked with Fortune 500 analytics teams and hands-on SMB operators, so I can translate technical data engineering work into clear business outcomes. • I build around data quality, maintainability, documentation, and reporting people can actually trust. 𝗢𝗻𝗲 𝗥𝗲𝗰𝗲𝗻𝘁 𝗖𝗹𝗶𝗲𝗻𝘁 𝗢𝘂𝘁𝗰𝗼𝗺𝗲 𝗘𝘅𝗮𝗺𝗽𝗹𝗲 🛒 $30M+ Ecommerce Group (Snowflake, dbt, Fivetran & Tableau) • Outcome: Saved 36 hours per week, increased profitability by 9%, and improved return on ad spend by 14%. • Deliverable: Built a Snowflake and dbt data warehouse integrating 11 systems, including Shopify, Amazon, advertising platforms, fulfillment, accounting, and customer marketing data, then delivered 5 operating dashboards. 𝗪𝗵𝗮𝘁 𝗜 𝗰𝗮𝗻 𝗱𝗼 𝗳𝗼𝗿 𝘆𝗼𝘂: ✅ Data engineering and data pipeline development using Snowflake, Google BigQuery, SQL, Python, dbt, APIs, Fivetran, AWS, and Microsoft Fabric ✅ Snowflake and Google BigQuery data warehouse architecture, implementation, optimization, security, and production support ✅ ETL and ELT pipelines, API data integration, scheduled ingestion, transformation logic, and historical data tracking ✅ dbt models, testing, documentation, source staging, business logic, and curated reporting layers ✅ Data analytics, KPI design, customer analytics, profitability analysis, operational reporting, and executive decision support ✅ Power BI, Tableau, and Sigma dashboards connected to trusted warehouse and semantic-model foundations ✅ Data cleaning, validation, reconciliation, migration, fuzzy matching, and reporting-quality improvements ✅ Ecommerce data integration across Shopify, Amazon, advertising, fulfillment, accounting, and customer platforms ✅ Ongoing data engineering, analytics engineering, dashboard support, and reporting-system maintenance 𝗪𝗵𝘆 𝗰𝗹𝗶𝗲𝗻𝘁𝘀 𝘁𝗿𝘂𝘀𝘁 𝗺𝗲: • Certified in Snowflake, Tableau, Power BI, and ThoughtSpot • Hands-on experience building data pipelines and analytics systems across datasets ranging from messy operational exports to more than 100 million transactions • Strong business background, which helps me connect data engineering and data analytics work to profitability, efficiency, growth, and better decisions If you need reliable data engineering, cleaner data pipelines, or data analytics your team can actually use, let’s connect. 📞 𝗜𝗻𝘃𝗶𝘁𝗲 𝗺𝗲 𝘁𝗼 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗼𝗻 𝗨𝗽𝘄𝗼𝗿𝗸 𝗼𝗿 𝘀𝗲𝗻𝗱 𝗺𝗲 𝗮 𝗱𝗶𝗿𝗲𝗰𝘁 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝘁𝗼 𝗯𝗼𝗼𝗸 𝗮 𝗰𝗼𝗺𝗽𝗹𝗶𝗺𝗲𝗻𝘁𝗮𝗿𝘆 𝗰𝗮𝗹𝗹. Linus Tse

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.