I build data pipelines and dashboards that help companies actually use their data. Over the past 5 years, I've helped 70+ clients — from early-stage startups to enterprise teams — set up analytics infrastructure, migrate to modern data stacks, and create dashboards their teams actually use daily. What I do best: BI & Dashboards — Looker, Looker Studio, Tableau, Power BI, Mode. I've built executive dashboards, marketing attribution reports, and customer analytics views for SaaS, e-commerce, and gaming companies. Data Pipelines & ETL — BigQuery, Snowflake, dbt, Airbyte, Fivetran. I design and build pipelines that are reliable, documented, and maintainable — not spaghetti SQL that breaks when you're on vacation. Analytics Engineering — GA4 setup, event tracking, data modeling, KPI frameworks. I help teams go from "we have data somewhere" to "we make decisions with data." Recent wins: Built a GA4 + Looker Studio analytics stack for a German startup (troubleshooting complex attribution issues) Developed dbt models powering customer dashboards in Amazon QuickSight Created AI chatbot POC processing analytical datasets — delivered in weeks, not months I'm responsive, I document my work, and I don't disappear mid-project. Let's talk about what you're trying to build.

I help Retail, SaaS, Manufacturing, Healthcare, FinTech, and Construction/Engineering companies turn raw data into AI-driven decisions, predictive insights, and scalable analytics systems. Over the past 10 years, I’ve delivered data platforms, AI models, and BI solutions that have reduced inventory errors by 30%, improved forecast accuracy, lowered operational overhead, and enabled real-time decision-making for 50+ brands. Core Expertise 1. AI & Machine Learning Forecasting, Churn/LTV modeling, Pricing optimization, Underwriting risk models, NLP/LLM insights, Predictive maintenance. 2. BI & Decision Intelligence Power BI, Looker, Tableau dashboards; KPI frameworks; semantic modeling; executive reporting; self-service analytics. 3. Cloud Data Platforms & Architecture Snowflake, Redshift, BigQuery, Azure Fabric; DWH design; data lakes; scalable data modeling; performance optimization. 4. Data Engineering & Automation ETL/ELT pipelines, dbt, ADF, Airflow, API integrations, data quality frameworks, orchestration, CI/CD for data. 5. Strategic Analytics Consulting Roadmaps, architecture reviews, reporting frameworks, improving data maturity, identifying revenue/efficiency opportunities. Why Clients Choose Me • 10+ years experience across 6 global industries • Quantified business results from real-world implementations • Clear communication + fast execution • Ability to scale delivery via a small, specialized engineering & analytics team • AI-first approach to modernize analytics, reduce inefficiency, and unlock growth • Transparent documentation, clean architecture, and long-term maintainability If you need a partner—not just a freelancer—to architect, engineer, and deploy high-impact analytics or AI systems, I can help. Let’s build something that delivers measurable outcomes, not just dashboards. Ready to turn your data into a competitive advantage? Message me or invite me to your job posting — I respond within a few hours.

I’m Adeola — a marketing data engineer focused on one thing: fixing ad tracking and attribution. I help 8-figure eCommerce brands and venture-backed startups rebuild their marketing data from the ground up — centralizing ad, CRM, and analytics data into one reliable, connected source of truth — as well as automating offline and server-side tracking based on first-party data to optimize every dollar you spend. 🚀 Why Clients Hire Me Most engineers don’t understand business and marketing. Most marketers don’t have the technical depth. I understand both. I started as a software engineer (Computer Science) before transitioning into marketing technology, where I’ve spent years building end-to-end tracking and data systems. That combination allows me to think creatively beyond platform limitations, solve complex problems others avoid. I’m also uniquely positioned because I’ve worked across a vast stack of tools — see the full list below. 💡 What I Do I’ve implemented the following systems across a wide range of industries and niches: • Ad Tracking & Attribution – implementing advanced first-party tracking systems that ensure accurate, deduplicated, and high event-match-quality conversions across every ad platform. From GTM (Web & Server via Stape) to fully custom server-side integrations that send events directly to the Meta Conversions API, Google Ads API, and LinkedIn API. • Customer Data Infrastructure – implementing CDPs like Segment, Rudderstack, and Customer.io to unify clickstream tracking and create a single source of truth — enabling you to activate customers based on the actions they take. • Data Warehousing & Pipelines – building automated data flows with Fivetran and Airbyte, syncing platforms like Stripe, Shopify, HubSpot, and Calendly into BigQuery or Snowflake for centralized analytics. • Data Modeling – using SQL, DBT, and Dataform to standardize and transform raw data from multiple marketing and sales platforms inside the data warehouse. I design modular models that answer complex business questions around ROAS, CAC, retention, churn, attribution, and customer behavior. • Reverse ETL & Automation – syncing first-party, highly targeted data from your warehouse back into Google Ads, Meta Ads, and other platforms for advanced audience targeting and optimization — as well as pushing enriched data into HubSpot, Customer.io, and similar tools to activate customers with personalized messaging. I leverage Hightouch, Airbyte, and Fivetran to do so. • Serverless Data Architecture – extending and automating systems using Cloudflare Workers, Queues, Google Cloud Run, and event-driven infrastructure for high scalability and reliability. 🧰 Full List of Tools & Tech I’ve Worked With 🧠 CDPs & Tracking Segment (Certified Solutions Architect) · Rudderstack · Customer.io · Google Tag Manager (Web & Server via Stape) · Meta Conversions API · Google Ads API · LinkedIn API · Hyros · Voluum · Mixpanel · Amplitude 💼 CRM, Marketing & Sales Platforms HubSpot · Salesforce · Keap · Pipedrive · Klaviyo · ActiveCampaign · Stripe · Shopify · Typeform · BigCommerce · GoHighLevel (I’ve also worked directly with the underlying APIs for each.) ⚙️ Automation & Workflow Orchestration Make.com · Zapier · n8n 🏗️ Data Warehousing BigQuery · Snowflake 🔄 ETL, Reverse ETL & Data Modeling Fivetran · Airbyte · Hightouch · HevoData · DBT · Dataform 📊 Analytics & Visualization Metabase · Looker Studio · Tableau · Superset · GA4 🧩 Serverless Architecture & Engineering Infrastructure Cloudflare Workers · Cloudflare Queues · Cloudflare Workflows · Cloudflare R2 · Durable Objects · Google Cloud Run · Cloud Functions · Google Cloud Pub/Sub · Eventarc · Event-Driven Infrastructure · Node.js Servers · Custom API Integrations · Webhooks 💻 Software Engineering Stack JavaScript (React, Next.js, Node.js) · Python (Django, Pandas, Streamlit) · Golang · SQL

Most e-commerce brands and agencies don't have a data problem. They have a trust problem. Tracking breaks. Numbers in GA4, Meta, Google Ads, and Shopify never match. Dashboards get rebuilt by hand every month, and no one's sure which figure to spend against. I fix the whole chain, end to end: from the tag firing on your site, to the BigQuery pipeline that cleans and unifies the data, to the dashboard your team makes decisions on. I'm an Analytics Engineer who builds the data engineering layer (automated pipelines, BigQuery modeling, BI) on top of deep, hands-on tracking implementation roots. That combination is the point. Because I own both the server-side tracking and the pipelines it feeds, the data stays coherent the whole way down, with no hand-offs between three specialists who each blame the other when the numbers don't add up. I work almost exclusively with e-commerce brands and marketing, growth, and advertising agencies (white-label welcome). I speak ROAS, MER, CAC, and LTV, so you tell me the business goal, not the technical spec. --- What I build Marketing & e-commerce data pipelines (GCP / BigQuery), the core of what I do: - Automated ETL/ELT from GA4, Shopify, ad platforms (Meta, Google, TikTok), and CRM into BigQuery - Ingestion via Python, dbt, Fivetran, Stitch, or the GA4 native BigQuery export - BigQuery data modeling: staging, intermediate, and mart layers, partitioning, clustering, incremental models - Data cleaning, normalization, deduplication, and identity stitching across sources - Orchestration and scheduling on GCP: Cloud Run, Cloud Functions, Pub/Sub, Cloud Scheduler - Cost optimization, query tuning and table design so the warehouse scales without surprising your bill - Deliverables: automated pipeline, single source of truth in BigQuery, attribution-ready datasets, documented and modeled tables refreshed on schedule, a warehouse your next analyst can actually read Tracking & analytics implementation, the foundation the data depends on: - GA4: advanced e-commerce, custom events, funnels, attribution-ready data layer - Google Tag Manager, client-side and server-side (Stape or GCP) - Conversion APIs: Meta CAPI, TikTok Events API, Google Ads enhanced conversions, Snapchat, LinkedIn - Client-to-server migration to recover conversions lost to iOS, ITP, and ad blockers - Consent Mode v2 and CMP setup (OneTrust, Usercentrics), first-party capture, hashing, deduplication - dataLayer, JavaScript, and DOM work for custom event tracking - Deliverables: documented tracking plan, validated event and conversion setup, tag and trigger audit, numbers that reconcile across platforms BI & reporting, the part your team actually looks at: - Looker Studio dashboards powered by BigQuery (Power BI / Tableau / Metabase on request) - Revenue analytics, channel performance, funnels, ROAS/CAC/LTV scorecards - Automated SQL transformations and scheduled workflows, no manual monthly rebuilds - Deliverables: CEO-ready dashboard, automated refresh, documentation your team can follow --- Why clients hire me: I combine data engineering, analytics implementation, and BI automation into one workflow. Instead of isolated dashboards or pipelines built on shaky tracking, you get a full-stack, maintainable, accurate data system, with one person accountable from the tag on your site to the number on the dashboard. Agencies can put me behind their own client work: on calls if you want me there, invisible if you don't. Certifications: - Google Cloud Professional Data Engineer (2025) - Google Analytics Individual Qualification (verified by Upwork) - Meta Certified Marketing Developer (Credly) Whether you need a GA4-to-BigQuery pipeline, broken tracking fixed, Shopify analytics modeling, or a complete analytics foundation, tell me what you're trying to decide with the data, and I'll build the system that gets you there.

Full-Stack Data Consultant with extensive expertise in end-to-end data solutions, including data warehousing, ETL/ELT processes, and managing data infrastructure across all major cloud providers. I specialize in building robust data pipelines, modeling data for analysis, and creating actionable dashboards tailored to business needs. My experience also extends to machine learning, AI, and data analytics, providing clients with advanced insights to drive informed decision-making. Passionate about leveraging the latest industry trends and emerging technologies to drive innovation and improve business outcomes.

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.

👋 Hi, I’m a 🏆 ⭐️⭐️⭐️⭐️⭐️Top Rated Python Data Engineer & Data Visualization Expert at GroupBWT - a 100+ person data engineering company and official AWS, Snowflake & Databricks partner, building enterprise data systems since 2009. As a Python Data Engineer, I specialize in designing scalable data systems. My role as a Data Engineer is focused on building reliable pipelines, automation, and analytics infrastructure. Every Python Data Engineer decision I make is oriented toward scalability, performance, and data reliability. I work as a Python Data Engineer on enterprise-grade systems where architecture matters for both ingestion and transformation layers. As a Data Engineer, I ensure that raw data becomes structured, usable, and ready for business intelligence. Here’s how I support our clients as a Python Data Engineer: ✅ Our ETL pipelines process over 100 million records monthly across major cloud data warehouses
 ✅ My solutions reduce manual reporting effort by up to 80% through end-to-end automation
 ✅ We build Python Data Engineer workflows for integrating and transforming complex datasets ✅ Every pipeline is tested and quality-checked to meet enterprise data standards 🔁 What I Do as a Python Data Engineer ⚙️ Data Engineering (Python Data Engineer Core Work) 🔹 API & event-based ingestion using Python Data Engineer best practices 🔹 Python + SQL transformations 🔹 Data modeling, schema design, enrichment 🔹 ETL/ELT into Snowflake, Databricks, BigQuery with Python Data architecture 🔹 Monitoring, retries, observability & data quality testing for Python Data pipelines 🔹 CI/CD for pipelines & cloud cost optimization as a Python Data Engineer Platforms I’ve delivered as a Python Data Engineer process 100M+ records/month, integrate 30–80+ APIs, and power real-time BI environments. 📊 Data Visualization & BI (Python Data Engineer Perspective) 🔹 I bridge raw data with business decisions as a Python Data Engineer 🔹 Power BI, Looker Studio & Tableau dashboards connected by Python Data Engineer pipelines 🔹 Executive KPI reporting built by a Python Data Engineer 🔹 Semantic layer & metric standardization in Python Data Engineer systems 🔹 Real-time reporting (<5 min latency) enabled by Python Data Engineer architecture 🔹 BI performance optimization from a Python Data Engineer point of view 🔹 Data storytelling for leadership & operations powered by Python Data Engineer workflows My solutions as a Python Data Engineer reduce manual reporting effort by up to 70-80% and significantly improve forecasting accuracy. 🧩 Recent Experience (Python Data Engineer Projects) 🔹 Retail & eCommerce Data Warehousing (Python Data Engineer) Built ingestion + normalization pipelines for 120+ eCommerce sources, syncing ~500K SKUs/day into Snowflake / BigQuery using Python Data Engineer architecture. 🔹 FinTech Ingestion & Reporting Layer (Python Data Engineer) Delivered automated pipeline pulling from 30+ sources (APIs, DBs, files), built with Python Data Engineer logic for validation, transformation, and reporting. 🔹 Government ETL & Document Processing (Python Data Engineer) Automated processing of 10K+ documents/day using Python Data Engineer workflows: extraction, classification, mapping, and database loading. 🔹 Healthcare Data Normalization & Compliance (Python Data Engineer) Cleaned millions of records using Python Data Engineer pipelines with schema mapping, PII-aware handling, and reproducible transformations. 🔹 Large-scale Cloud Migrations (Python Data Engineer) Migrated legacy systems into BigQuery/Snowflake using Python Data Engineer architecture with incremental loads and automated pipelines. 💻 Tech Stack (Python Data Engineer Toolkit) ⚙️Languages: Python, SQL, DAX, Power Query, PySpark, Scala, Bash/Shell, JavaScript, etc.
 ⚙️Data Engineering & Processing: PySpark, dbt, Airflow, Prefect, CDC, REST & GraphQL, etc.
 ⚙️Data Warehouses & Databases: Snowflake, Databricks, BigQuery, AWS, PostgreSQL, MSSQL
 ⚙️Cloud Platforms: AWS: S3, Glue, Lambda, CloudWatch, Athena, Redshift, BigQuery, Dataflow
 ⚙️Data Modeling & Architecture: Star schema, Snowflake schema, Lakehouse architecture, etc.
 ⚙️Monitoring & Data Quality: dbt, Prometheus, Grafana, AWS CloudWatch, GCP Monitoring, etc.
 ⚙️BI & Visualization: Power BI (Desktop, Service), Tableau, Looker Studio, Metabase, etc.
 ⚙️DevOps & CI/CD: Git, GitHub, GitLab CI, Docker, Terraform, etc. 🚀 If you need automated pipelines, clean data models, and executive-level dashboards - as a Python Data Engineer I can help you build a robust system from end to end. ➡️ Invite me to your job and let’s design a scalable data strategy with a Python Data Engineer leading the way. Last updated June 15, 2025

MOST AI AND BI INITIATIVES FAIL because the underlying data foundation is broken. I am an Expert-Vetted Principal Architect (Top 1%) and 15x US Patent Holder who builds "Agentic" data foundations. I specialize in turning multi-source chaos into a Single Source of Truth that doesn't just report data, it reasons over it. My latest build, AgentMaestro, achieved 97% accuracy in the volatile Miami Real Estate market by replacing legacy "Black Box" ML with a "Two-Brain" Reasoning Architecture. I HELP AMBITIOUS ORGANIZATIONS SOLVE THREE CRITICAL PROBLEMS: 1. COST & LATENCY: I re-engineer legacy warehouses using Dataform and modern ELT logic to reduce cloud bills by 30%+ while achieving sub-2-second dashboard latency. 2. DATA INTEGRITY & ATTRIBUTION: I unify fragmented silos (Shopify, Meta, CRM, GTM/CAPI) into high-integrity Customer Data Platforms (CDP) to provide 100% visibility into ROI and Attribution. 3. REASONING-AS-A-SERVICE (RaaS): I move beyond simple "predictive modeling" into Agentic AI. I deploy LLM-driven reasoning engines (Vertex AI) that provide "Glass Box" audit trails for high-stakes decision-making. THE "MAESTRO" DIFFERENCE: I am not a "task-taker." I am a strategic partner who owns the entire data lifecycle. I design the proprietary logic that ensures your data is an asset, not a liability. Let's connect to architect your Single Source of Truth. CERTIFICATIONS - Google Cloud Professional Data Engineer - Google Cloud Professional Machine Learning Engineer - Google Data Analytics Professional - Google Business Intelligence Professional SKILLS Cloud Platforms: - Google Cloud Platform (GCP) Data Warehousing & Big Data: - BigQuery - BigLake - PostgreSQL - MySQL - SqlServer Data Modeling: - Dataform - dbt Machine Learning & AI: - BigQueryML - Vertex AI - TensorFlow - H2O - Caret - Scikit-learn - ML Model Development & Deployment Business Intelligence & Visualization: - Looker - Looker Studio - Google Sheets - Apache Superset - Airtable Programming Languages: - SQL - R - Python Data Engineering ELT & ETL: - Dataflow - Cloud Pub/Sub - Data Pipelines - Dataform - Cloud Functions. Ecommerce Platforms: - Shopify Data Science: - Predictive Analytics - Customer Segmentation - Data Mining - Statistical Analysis - RFM Analysis - Contribution Analysis - LTV - Time series forecasting - Recommender Systems

I help eCommerce and subscription brands grow faster with better data. I design full-stack reporting systems that track LTV, optimize marketing spend, and accelerate split test decisions. Tools I work with daily: BigQuery, GA4, dbt, Looker Studio, Google Sheets. I specialize in building clean, scalable analytics environments — turning raw Shopify, Recharge, GA4, and CRM data into actionable dashboards and predictive models. Recent work includes: Split test reporting systems (BigQuery to Google Sheets, GA4-style event tracking) Customer LTV and CAC forecasting models Subscription churn and cohort retention dashboards Revenue impact tracking from acquisition channel through lifetime value Attribution pipelines that bridge Meta Ads, Google Ads, and first-party data Whether you need to architect a new data warehouse from scratch, fix broken reporting foundations, or drive faster growth experimentation, I can help deliver systems that leadership teams rely on — not just prettier charts.

👋 Hi, I’m Affaan: a Top Rated Plus Data Engineer & AI Solution Architect I specialize in building scalable data pipelines, optimizing cloud data architecture, and delivering powerful dashboards with Tableau/Power BI including translating AI capabilities, limitations, and business value into actionable insights to ensure alignment with project objectives. My Core Skills: 🔹 Generative AI & LLM Solutions Designing and implementing LLM-powered applications (e.g., chatbots, document processing, knowledge assistants) using modern frameworks. Working with prompt engineering, retrieval-augmented generation (RAG), vector databases, and AI orchestration tools to build production-ready intelligent systems. 🔹 Data Engineering: • ETL/ELT workflows using Python, dbt, Fivetran, AWS Glue, Azure Data Factory, Databricks • Data pipeline orchestration, cleansing, transformation, and automation • Cloud platforms: AWS, GCP (BigQuery), Azure 🔹 Data Visualization & BI: • Interactive dashboards in Power BI and Tableau • Metrics design, KPI tracking, and executive reporting • Business storytelling with clean visual narratives 🔹 Data Architecture & Management: • SQL & NoSQL design, performance optimization • Real-time streaming (Kafka, Spark Streaming) • Scalable data lakes, warehouse modeling 📈 Why Choose Me: ✅ Top Rated Plus on Upwork in under 1 year. ✅ Strong communicator who adapts to business context. ✅ Delivered for real estate, telecom, manufacturing, and healthcare clients. ✅ Focused on clean, tested, and production-grade solutions. Ready to Solve Your Data Challenges? Whether you need: • dbt models built on BigQuery • Tableau dashboards for your exec team • End-to-end pipeline from Fivetran to warehouse to dashboard I’m here to help. 📅 Let’s talk — I respond fast and deliver faster.