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Most data pipelines don’t fail because of code. They fail because they weren't built for scale. With 8+ years of experience engineering data systems at companies like Microsoft and Coreweave, I help businesses move away from "brittle prototypes" to production-grade, scalable infrastructure. I don’t just move data; I build the "Source of Truth" that leadership and AI systems actually trust. 💬What I Solve for You: Productionizing AI Pipelines: Hardening Python prototypes into scalable RAG and LLM infrastructures (AWS/Azure). ➔Infrastructure-as-Code: Building automated, modular ETL/ELT pipelines that don't require daily manual fixes. ➔The "One-Source" Dashboard: Integrating messy data from APIs, SaaS (Shopify, HubSpot), and DBs into clean Snowflake/BigQuery layers. ➔Performance Recovery: Optimizing slow SQL queries and high-cost cloud warehouses to save you thousands in monthly spend. 🛠 Tech Stack: Languages: Python (FastAPI, Pandas, PySpark), SQL Cloud & Warehousing: AWS (Glue, Lambda, S3), Snowflake, BigQuery, Azure Orchestration: Airflow, dbt, GitHub Actions Data Ops: API Integrations, Vector DBs, Data Validation ✅ Why Me? 8+ Years Experience: I’ve seen what breaks at the enterprise level and how to prevent it in your startup. Speed over Perfection: I focus on shipping high-impact systems that drive revenue, not just technical documentation. Transparent Communication: You get regular updates and a partner who challenges requirements to find better solutions. Ready to clean up your data debt? 📩 Message me for a FREE 15-minute technical consultation. Let’s discuss your architecture and see if I’m the right fit for your system.

♞💘 ˜”❀°•.˜”✿°• ɢʀᴇᴀᴛ ɴᴇᴡꜱ: ᴛʜᴇ ᴀʟɢᴏʀɪᴛʜᴍ ʙʀᴏᴜɢʜᴛ ᴜꜱ ᴛᴏɢᴇᴛʜᴇʀ! •°★”˜.•°✨”˜ 💙 🧭 It's a pleasure to meet you! You need clarity. Not an average freelancer. I am Marcus Green, Ph.D. (っ◔◡◔)っ ♥ I put the soul in solution. ♥ Not ready to hire? Request your free fixed rate price quote from a professional on this job today! I founded CTLR PLUS SOLUTIONS, a Tennessee-based marketing analytics, business intelligence, AI workflow, and MVP development lab. I am 40, first-generation poor, and the father of five kids. I built this business to provide intelligent service, create opportunity, and solve problems that cost clients money, time, confidence, and momentum. We fix broken tracking, messy dashboards, disconnected tools, unclear revenue data, and custom technology problems. 𝐒𝐞𝐫𝐯𝐢𝐜𝐞. 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞. 𝐑𝐞𝐥𝐚𝐭𝐢𝐨𝐧𝐬𝐡𝐢𝐩𝐬. 𝐘𝐞𝐬, 𝐒.𝐈.𝐑.! Service means clear communication. Intelligence means we diagnose, build, test, and improve. Relationships means we do not win one contract and disappear. Proof I maintain a 100% Job Success Score (This is totally not easy!), Top Rated Plus status, and 120+ client engagements. Review my Upwork feedback. plussolutions.ai. drgreencoconuttree on YouTube to see how I think, explain, and solve. I am not an outsourcing agency hiding behind a generic logo. The work carries my name. 💠 What do we fix? Most organizations are not short on tools. They are short on clarity. You may already have GA4, GTM, Google Ads, Meta, Shopify, HubSpot, Salesforce, Looker Studio, Power BI, Airtable, Zapier, Make, BigQuery, Snowflake, or a CRM. The problem is simple: the tools do not agree. The website says one thing. GA4 says another. The CRM says something different. The ad platform takes credit for everything. The dashboard looks nice but does not answer the real business question. 🔹 We fix tracking, connect data, build dashboards in Looker Studio and Power BI, support BigQuery, Snowflake, and SQL workflows, and build custom AI/MVP tools. The goal: See what drives revenue, what wastes money, and what must happen next. How your money works 🌐 Step 1: Audit Most engagements start with a $99 Audit. We review GA4, GTM, Google Ads, Meta, events, website tracking, attribution, reporting gaps, dashboards, and next steps. The audit answers: What is broken, missing, confusing, or underbuilt? Step 2: Fix We fix GA4 events, GTM setup, Google Ads conversions, Meta Pixel/CAPI, form tracking, click tracking, checkout tracking, CRM mapping, UTMs, attribution, and reporting mismatches. If tracking is wrong, the dashboard is decoration. We help you stop guessing. 🔷 Step 3: Build Some clients need a $2,500 dashboard sprint. Others need executive reporting, Power BI, Looker Studio, BigQuery/Snowflake architecture, AI workflows, MVPs, scrapers, Chrome extensions, internal tools, automations, or private business systems. Larger AI and MVP builds can range from $15k to $30k+, depending on complexity. The point is to build the right thing. Step 4: Consult Building the thing is not enough. We help clients interpret results, explain performance, train teams, review funnels, analyze campaigns, understand attribution, improve dashboards, and make better decisions. A dashboard without interpretation is just a pretty screen. Step 5: Retain 🌀 Markets change. Platforms change. Tracking breaks. Campaigns launch. Teams ask new questions. Many clients continue through advisory retainers, analytics support, development retainers, or ongoing business intelligence relationships. Typical retainers range from $1,800 to $6,800+/month, depending on scope. We are always in the solution business. Are we alone? No. I lead strategy, diagnosis, business logic, client communication, and solution direction. CTLR PLUS SOLUTIONS also uses trusted developers, data engineers, and automation specialists when needed. You get senior strategy plus build support. How do we interview? Message me on Upwork and ask for a free thought-partnering session or $99 audit of your stack. We clarify the problem, review the tools, identify the fastest path, and decide if we are the right fit. Next steps 🔵 Hire or Invite. Fund the $99 Audit. Send access to GA4, GTM, Google Ads, Meta, website, CRM, or dashboard tools. 𝙔𝙤𝙪𝙧 𝙛𝙧𝙞𝙚𝙣𝙙 𝙖𝙣𝙙 𝙖𝙣𝙖𝙡𝙮𝙨𝙩, -𝙈𝙖𝙧𝙘𝙪𝙨 If your business is tired of unclear tracking, disconnected tools, confusing dashboards, expensive guesswork, or half-built systems, you are in the right place. Tell your friends we do: GA4 upgrade and event tracking completed successfully. Power BI labor productivity and budget dashboard delivered. Data Studio dashboards created with excellent communication. Strategic consulting helped clients clarify testing, user experience, and performance. MVP and Chrome extension projects moved clients in the right direction.

I help startups and growing companies turn messy data and manual operations into scalable AI and data systems that improve decision-making, automation, and revenue growth. I’ve worked with businesses across healthcare, e-commerce, marketing, and real estate to build modern data infrastructure, AI applications, and analytics platforms that teams actually rely on. I combine AI engineering, cloud architecture, and analytics expertise to deliver systems that are fast, reliable, and built for scale. Data Engineering & Cloud • ETL/ELT pipelines and orchestration • Batch and real-time data processing • Data warehouses and modern data stacks • Databricks, Airflow, SQL, and Python • AWS, Azure, and GCP architecture • APIs, webhooks, and event-driven systems Analytics & Business Intelligence • Executive dashboards and KPI reporting • Power BI, Tableau, Looker, Qlik • Superset and Metabase • Marketing, product, and revenue analytics • Centralised reporting and data visibility What Clients Typically Hire Me For • Building AI-powered business tools • Designing scalable cloud data platforms • Fixing unreliable pipelines and reporting systems • Automating manual business workflows • Creating a single source of truth for analytics • Scaling infrastructure as companies grow How I Approach Projects I focus on business impact first, not just technology. That means building systems that: • scale reliably • reduce operational friction • improve reporting accuracy • support faster decision-making • save time through automation I communicate clearly, work independently, and take ownership from planning to deployment. Why Clients Work With Me Long-Term • Strong technical and business understanding • Experience across AI, analytics, and cloud systems • Reliable delivery and long-term thinking • Ability to work with both technical and executive teams

Messy data slowing your team down? I build scalable ETL/ELT pipelines and modern cloud architectures on Azure, Databricks, Fabric, and Snowflake that turn raw, chaotic data into clean, analytics-ready systems fast and reliably. I bridge the gap between fragmented data sources and production-grade dashboards, seamlessly adapting to your existing infrastructure rather than forcing an expensive rebuild. What I Can Help You With: Data Warehouse & Lakehouse Architecture: Implementing Medallion design patterns (Bronze → Silver → Gold) using Delta Lake, Microsoft Fabric OneLake, and Snowflake. Scalable ETL/ELT Ingestion: Building automated, metadata-driven pipelines via Azure Data Factory, Fabric Pipelines, Databricks (PySpark/SQL), and dbt. Real-Time Data Streaming: Architecting low-latency workflows using Apache Kafka, Azure Event Hubs, and streaming engines. Database Design & Optimization: Performance tuning, indexing, and data modeling for PostgreSQL, Azure SQL, and cloud warehouses. Proven Project Highlights: Microsoft Fabric Incremental Pipeline: Built a control-table pattern using Get Metadata, Lookup, and ForEach loops to orchestrate zero-duplicate, quarterly ingestion from SharePoint into OneLake via Dataflow Gen2. Azure/Databricks Streaming: Developed a restaurant analytics platform processing 80,000+ events/day, cutting reporting lag from 6 hours to under 3 minutes. Kafka/Snowflake Pipeline: Engineered a real-time stock market data pipeline tracking 120+ tickers with under 8 seconds end-to-end latency. I write clean, documented code your team can maintain long-term and provide transparent daily updates. Message me with your data challenge and I’ll walk you through exactly how to solve it.

🏆 TOP RATED PLUS || Top 1% on Upwork || Expert Vetted || 8+ Years of Experience || 100% Job Success Most data teams are held back by unreliable pipelines, warehouses they cannot trust, and data infrastructure that was never built to scale. That's exactly what I fix. As a Senior Data Engineer, I don't just write SQL and call it a pipeline. I architect end-to-end data systems where reliable ingestion feeds into clean, versioned transformations that power decisions your business can act on. My approach prioritizes fault tolerance, scalability, and observability across both batch processing and real-time analytics workloads. This ensures your data infrastructure is not just functional, but resilient and audit-ready. Whether you need cloud data migration, data platform modernization to a Modern Data Stack (Snowflake/dbt/Airflow, Microsoft Fabric), or streaming analytics infrastructure, I deliver production-grade systems that help technical founders and data teams eliminate pipeline debt, automate complex data workflows, and build scalable infrastructure ready for AI workloads. ------------------------ Where I make the biggest impact: ✅ I lead data migration and data platform modernization projects, replacing brittle ETL and ELT pipelines with a Modern Data Stack built on Snowflake, dbt, Airflow, and Microsoft Fabric. ✅ Every engagement includes Medallion Architecture design, full test coverage, CI/CD for data models, data lineage tracking, and documentation that outlasts the project. ✅ I design data pipelines for both batch processing and real-time analytics, idempotent, schema-drift tolerant, and monitored through data observability frameworks, so failures are caught before they reach your stakeholders. ✅ Warehouse models are built to serve the business: Star Schema, dimensional modeling, dbt projects, analytics engineering best practices, and a metrics layer backed by a data catalog and metadata management. ✅ I architect distributed systems for big data and streaming analytics, including Kafka, Flink, Spark Structured Streaming, exactly-once semantics, dead-letter queues, and end-to-end latency guarantees. ✅ AI data pipelines are engineered to feed LLMs and ML systems with clean, structured, high-quality data, from ingestion through transformation to serving. ✅ I bring governance to data platforms through data mesh, data catalog implementation, metadata management, and data integration across systems. ✅ Data quality and data reliability are enforced end to end, with automated frameworks, SLA monitoring, auditable lineage, and observability that catches bad data before it reaches your stakeholders. ✅ I build AI-ready data infrastructure and lakehouse foundations, Delta Lake, Apache Iceberg, cloud data architecture, and CDC pipelines for near-real-time sync. ✅ Cloud data migration is handled end to end, from legacy warehouse assessment through cutover, with zero data loss and minimal downtime. ------------------------ What I Build With: 🗄️ Warehouses, Lakehouses & Data Lakes: Snowflake, BigQuery, Redshift, Databricks, Microsoft Fabric, Delta Lake, Iceberg ⚙️ Transformation: dbt (Core & Cloud), SQLMesh, Spark, PySpark, Star Schema, Medallion Architecture 🔁 Orchestration: Airflow, Dagster, Prefect, Azure Data Factory, Microsoft Fabric 📨 Streaming: Kafka, Kinesis, Pub/Sub, Flink, Fabric Eventstream 🔗 Ingestion: Fivetran, Airbyte, Matillion, Stitch, Hevo, Meltano, CDC pipelines ☁️ Cloud: AWS, GCP, Azure 🐍 Languages: Python, SQL (Snowflake, BigQuery, T-SQL, PL/pgSQL) 🗃️ Databases: PostgreSQL, MySQL, SQL Server, DynamoDB, MongoDB 📊 BI & Reporting: Looker, Tableau, Power BI, Metabase, Superset, Streamlit ------------------------ What Clients Say: ⭐ "Adarsh rebuilt our analytics pipeline on Snowflake, Airflow, and dbt, giving us reliable, version-ready data. Reporting accuracy improved overnight, and we can finally trust the numbers." – Anita, Head of Product, FinTech SaaS ⭐ "He designed a zero-downtime migration to a modern data warehouse that cut query latency by more than half while keeping our SLAs intact." – Daniel, VP of Data, AdTech Firm ⭐ "Adarsh built our entire data platform from the ground up. Clean architecture, solid dbt models, and Airflow pipelines that have been running without issues for months. He brought a level of engineering discipline we hadn't seen from a data consultant before." – Mark, Director of Data Engineering, E-commerce Startup ⭐ "We came to Adarsh with a Spark pipeline that was costing us a fortune and delivering stale data. He diagnosed the bottlenecks, restructured the job logic, and cut our processing time by 70%. Technically sharp, communicates clearly, and delivers without hand-holding." – Leo, Head of Analytics, HealthTech SaaS ------------------------ 🚀 Let's Build Your Data Foundation 📩 If your data infrastructure needs to be faster, cleaner, and something your team can trust, send a quick message about your project and I'll take it from there.

Need a data platform that works in production, not just on a whiteboard? I design and build end-to-end data systems that turn fragmented raw data into trusted analytics and AI-ready infrastructure. 10+ years experience. Founder of Vyntics. Delivered consulting solutions for AT&T, Patreon, Jumio & Acko. WHAT YOU GET: Reliable ETL/ELT pipelines (batch + streaming) that keep dashboards accurate and stop 2 AM debugging Cloud data platforms (AWS/GCP) optimized for scale, cost control, and long-term maintainability Production-grade AI/RAG systems: accurate retrieval, eval pipelines, and scalable deployment Legacy-to-cloud migrations with zero-downtime cutovers and built-in validation frameworks PROVEN IMPACT: Migrated enterprise warehouse to BigQuery: 40% lower query costs, zero downtime Built Databricks lakehouse (Delta + Unity Catalog) for governed self-service analytics Designed Snowflake + dbt architecture that cut ELT dev time by 60% Deployed RAG systems on real-world data with measurable accuracy and latency improvements HOW I WORK: Flexible engagement: I can architect your system in a focused 2-week discovery sprint, or lead full end-to-end delivery via my Vyntics team. Always production-first, cost-aware, and documented for your team's long-term success. BEST FIT FOR: Startups scaling infrastructure | Companies migrating legacy systems | Teams adding AI/RAG | Leaders who want clarity before heavy investment Evaluating your data strategy or stuck on architecture decisions? Message me with your challenge. I will reply with 2-3 actionable next steps, no obligation. Arun Mudgal Founder & Principal Consultant, Vyntics