If you’re struggling with broken ETL pipelines, unreliable reports, or data scattered across tools. I build production-grade data engineering solutions that your business can trust. 🚀 What I Specialize In End-to-End Data Engineering & Warehousing I design and implement modern data warehousing and ETL/ELT architectures using best practices in data modeling, performance optimization, and automation. Core Expertise: -Data Engineering & Data Warehousing -ETL / ELT Pipeline Design & Optimization -Data Modeling (Analytics & BI-ready schemas) -Cloud Databases & Scalable Architectures Automation & Orchestration I build fully automated pipelines that are reliable, observable, and easy to maintain. Tools & Technologies: -Apache Airflow (including AWS MWAA) for orchestration -dbt for transformation, testing, and documentation -AWS Glue for serverless ETL -SQL-based transformations for performance and clarity AWS & Cloud Data Platforms I architect cloud-native solutions on AWS that scale with your business. AWS Stack: -Amazon S3 for data lakes -Amazon Redshift for analytics & BI -Cloud Databases optimized for reporting workloads -Secure, cost-efficient, and scalable deployments -Business Intelligence & Analytics I don’t just move data — I make it useful. -Business Intelligence pipelines optimized for reporting -Power BI-ready data models -Analytics tables designed for fast, reliable querying -Clean, consistent metrics across teams 💡 Case Study: Large-Scale Data Pipeline Automation Challenge: Manual reporting, inconsistent data, and multiple disconnected systems causing delays and errors. Solution: Designed a centralized data warehouse on Amazon Redshift Built automated ETL pipelines using Airflow, AWS Glue, and SQL Implemented dbt for standardized transformations and testing Delivered analytics-ready datasets for Business Intelligence teams Impact: ✅ Reliable, automated data pipelines ✅ Faster reporting cycles ✅ Clean, trusted metrics for decision-making ✅ Reduced manual effort and operational overhead ✅ Why Clients Work With Me Strong focus on data quality & reliability Clean, maintainable, production-ready code Clear communication & structured delivery Experience working with growing and data-driven teams 📩 Let’s Talk If you need help with ETL pipelines, Airflow automation, dbt transformations, AWS data warehousing, or BI-ready data models, let’s discuss your use case. I’m happy to review your current setup and suggest the best path forward.

I build Enterprise Data Platforms & Reporting Systems where every Power BI Dashboard is backed by a clean Database · reliable ETL Pipeline · strong Data Modeling & practical Data Analysis As a Data Analyst & Data Engineering specialist I help companies turn scattered data into trusted reporting systems using: Azure DevOps Snowflake Microsoft Power BI Microsoft Azure SQL Database Microsoft SQL Server Azure Data Factory Databricks Platform modern Data Warehousing architecture My core focus is simple: Azure DevOps for reliable delivery Power BI Dashboard systems for executive reporting Database architecture for real scale Snowflake for scalable Data Warehousing ETL Pipeline automation for stable data flow Data Analyst thinking behind every business metric I usually help when data is spread across: SQL Server Microsoft Azure SQL Database PostgreSQL MySQL NoSQL APIs ERP systems Excel files Google Sheets Snowflake Azure Data Factory Azure Data Platform Azure Databricks Databricks Platform dbt data build tool workflows I design the full path from raw data to business reporting: Data source to ETL Pipeline to Database to Data Warehousing to Data Modeling to Data Analysis to Power BI Dashboard to Data Visualization For Azure projects I use Azure DevOps · Azure Data Factory · Git · Terraform · CI/CD · DataOps · structured deployment workflows to make Data Engineering predictable. Azure DevOps is especially useful when your ETL Pipeline needs version control · automated releases · environment separation & stable deployment For Snowflake projects I design Snowflake Database architecture · Snowflake Data Warehousing · Snowflake cost optimization · dbt data build tool workflows · Database layers · Data Integration logic & reporting-ready Data Modeling. A Snowflake system should not just store data. It should make every Dashboard faster · cleaner & easier to trust For Power BI projects I work across the full lifecycle: requirements Database audit ETL Pipeline logic Data Modeling DAX KPI Scorecards KPI Dashboards Dashboard Design Microsoft Power BI reporting Microsoft Power BI Data Visualization Power BI Developer support Power BI Expert consulting Power Bi Report Builder performance tuning A recent Azure Data Architect project included ADF ingestion workflows + incremental & full-load pipelines + reusable templates + logging + scheduling + error handling + schema drift handling & bronze layer reliability. That is the type of practical Data Engineering foundation I build before dashboards are created I can help with: ▪ Azure DevOps workflows for CI/CD · Git · Terraform · DataOps & controlled data releases ▪ ETL Pipeline and ETL Pipelines architecture with Azure Data Factory · SQL · Python · APIs & dbt ▪ Snowflake Database architecture · Snowflake Developer tasks & Snowflake Data Warehousing ▪ Microsoft Azure SQL Database · Microsoft SQL Server · SQL Database · SQL Server · PostgreSQL ▪ MySQL & NoSQL optimization ▪ Databricks Platform & Azure Databricks workflows for scalable processing ▪ Data Modeling with star schema · DAX · semantic models · KPI logic & Database reconciliation ▪ Microsoft Power BI Dashboard development for finance · healthcare · sales · SaaS · ecommerce & operations ▪ Data Visualization · Dashboard Design · Looker Studio · Tableau Dashboard migration & Excel Dashboard migration ▪ Business Intelligence · KPI Dashboard · KPI Scorecards · Automated Reporting & Reporting Tool setup ▪ Python automation · Python Data Analysis · Data Science · Machine Learning · Statistics Data Analysis · Data Analytics & MLOps-ready reporting If your Database is slow I optimize the structure If your ETL Pipeline is unstable I redesign the workflow If your Snowflake warehouse is expensive I review the architecture If your Power BI Dashboard is beautiful but unreliable I rebuild the Data Modeling layer If your reporting still lives in Excel Dashboard files I migrate it into a scalable Power BI Dashboard & Database setup If your team needs: Database Architect Azure Data Engineer Data Engineer Data Analyst Power BI Developer Snowflake Architect Business Intelligence specialist I can help define the right technical path before development starts I'm not just a Power BI developer. I work as a Data Analyst · Data Engineer & Data Architect who understands how raw data becomes business value I also help teams with: Data Quality Data Governance Data Cleaning SQL Reporting Power BI Reporting Database Documentation KPI logic stakeholder-ready dashboards for ongoing business decisions Send me your current reporting problem & I will show you how I would structure: Azure DevOps workflow Snowflake Database ETL Pipeline Data Modeling Microsoft Azure SQL Database layer Power BI Dashboard ⭐⭐⭐⭐⭐ 🏆 Wait, you’ve actually made it to the very end! I highly value your attention to detail and professional approach. As a reward for your genuine interest, I’ll grant you a discount. Just mention "1 in 100" in your first DM

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’m an Analytics Engineer and Cloud Data professional with 17+ years of experience across healthcare analytics, data engineering, cloud integration, BI, governance, and secure data platforms. My work spans Azure, Microsoft Fabric, ADF, Synapse, Databricks, Snowflake, SQL, Python, HL7, FHIR, IoMT pipelines, HIPAA-aware data systems, and AI-ready analytics workflows. I specialize in building the analytics layer between raw data and business decisions: clean data models, trusted KPIs, governed datasets, secure pipelines, and dashboards that leadership teams can actually rely on. 𝐖𝐡𝐚𝐭 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐰𝐢𝐭𝐡 ✅ 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & 𝐁𝐈 Clinical, operational, IoMT, device telemetry, EHR, HL7, FHIR, HIPAA-aware dashboards, executive reporting, and healthcare data quality. ✅ 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 SaaS metrics, eCommerce analytics, customer analytics, marketing analytics, revenue reporting, KPI frameworks, semantic models, and BI-ready datasets. ✅ 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Azure Data Factory, Microsoft Fabric, Synapse, Databricks, Snowflake, SQL, Python, API integrations, data ingestion, ETL/ELT pipelines, and cloud data modernization. ✅ 𝐀𝐈-𝐑𝐞𝐚𝐝𝐲 𝐃𝐚𝐭𝐚 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 AI-ready datasets, anomaly detection support, ML-ready pipelines, automated reporting workflows, intelligent insights, and structured data foundations for AI use cases. ✅ 𝐃𝐚𝐭𝐚 𝐆𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 & 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 HIPAA, HITRUST, NIST, RBAC, data lineage, metadata, auditability, data validation, access controls, and secure-by-design analytics architecture. 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 𝐢𝐧𝐜𝐥𝐮𝐝𝐞𝐬 👉 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐝𝐚𝐭𝐚 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 𝐦𝐨𝐝𝐞𝐫𝐧𝐢𝐳𝐚𝐭𝐢𝐨𝐧 Designed secure Azure-based pipelines for clinical, operational, IoMT, and medical device data using ADF, Synapse, ADLS, Databricks, API integrations, HL7, and FHIR standards. 👉 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐁𝐈 𝐚𝐧𝐝 𝐞𝐱𝐞𝐜𝐮𝐭𝐢𝐯𝐞 𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬 Delivered dashboards combining operational, clinical, device, and risk indicators to help leadership teams monitor performance, reliability, and compliance. 👉 𝐂𝐥𝐨𝐮𝐝 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 Built governed data layers, SQL models, data mappings, validation workflows, and reporting-ready datasets across Azure, Fabric, Synapse, Databricks, Snowflake, and SQL-based environments. 👉 𝐀𝐈-𝐫𝐞𝐚𝐝𝐲 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐝𝐚𝐭𝐚𝐬𝐞𝐭𝐬 Prepared structured and reliable datasets for anomaly detection, predictive analytics, device monitoring, and advanced healthcare insights. 👉 𝐒𝐞𝐜𝐮𝐫𝐞 𝐝𝐚𝐭𝐚 𝐠𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞 Implemented data quality, lineage, metadata, retention, identity controls, and compliance-aligned processes for sensitive healthcare and enterprise datasets. 𝐌𝐲 𝐠𝐨 𝐭𝐨 𝐓𝐨𝐨𝐥𝐬 𝐚𝐧𝐝 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 Azure Data Factory, Microsoft Fabric, Azure Synapse, Azure SQL, ADLS Gen2, Databricks, Snowflake, SQL, Python, PySpark, dbt, Power BI, Tableau, HL7, FHIR, EPIC, IoMT, APIs, Event Hub, Azure IoT Hub, Delta Lake, RBAC, IAM, HIPAA, HITRUST, NIST, and data governance frameworks. If your team needs cleaner healthcare analytics, better BI models, secure cloud data pipelines, or AI-ready datasets, send me a message and I’ll help map the right analytics architecture for your business.

Thank you for visiting my profile!🙏 Most businesses already have the data they need, they just don't have it organized in a way that helps them make decisions. I help businesses build automated reporting systems and interactive dashboards using Power BI, Looker Studio, SQL, Python, and API integrations. My goal is simple: eliminate manual reporting, improve data accuracy, and give your team clear insights they can rely on every day. Whether you're a SaaS company, marketing agency, or eCommerce business, I can help turn scattered data into dashboards that are easy to understand and built for real business decisions. 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗜 𝗢𝗳𝗳𝗲𝗿: • Power BI Dashboard Development • Looker Studio & Tableau Dashboards • Executive KPI Dashboards • Marketing & Sales Analytics • SaaS Metrics (MRR, ARR, CAC, LTV & Churn) • Shopify & eCommerce Reporting • Financial Reporting & Forecasting • SQL Reporting & Data Analysis • ETL & Data Transformation • API Integrations & Automated Reporting • Excel & Google Sheets Automation 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝗸𝗶𝗹𝗹𝘀: Power BI • DAX • Power Query • SQL • Python (Pandas) • Looker Studio • Tableau • PostgreSQL • MySQL • BigQuery • REST APIs • Google Analytics • Meta Ads • HubSpot • Salesforce 𝗥𝗲𝗰𝗲𝗻𝘁 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝘀: • Built automated reporting dashboards that reduced manual reporting time by up to 80%. • Developed executive KPI dashboards by combining sales, marketing, and operational data into a single reporting system. • Created reporting solutions for agencies managing high volumes of client accounts with consistent, reliable reporting. • Connected multiple data sources through APIs to automate reporting and improve data accuracy. I focus on building reporting systems that are: ✔ Easy to use ✔ Accurate and reliable ✔ Automated wherever possible ✔ Scalable as your business grows If you're looking for a Business Intelligence or Power BI developer who understands both the technical side of reporting and the business decisions behind the numbers, I'd be happy to help. Send me a message or Invite, and I'll review your reporting process and recommend the best solution 𝗙𝗥𝗘𝗘 𝗼𝗳 𝗖𝗼𝘀𝘁 for your business.

With 20+ years of experience, I help enterprises deploy production-ready AI solutions and transform their data operations for measurable business impact. I've partnered with top-tier brands including DXC, Lincoln National, Jackson National, and Cisco, delivering scalable, secure systems while translating complex technical concepts for executive stakeholders. • 𝐀𝐈 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: I architect autonomous AI agent systems using Model Context Protocol (MCP), multi-agent orchestration (CrewAI, LangGraph, AutoGen), and agentic AI workflows. My core capabilities include generative AI modeling, deep learning, NLP, computer vision, and multimodal AI. I build production solutions with Python, LlamaIndex, LangChain, RAGs, Vector Databases, and prompt engineering. I integrate leading AI APIs (OpenAI, Anthropic, custom models) and provide AI data annotation, labeling, and strategy consulting that bridges technology and business requirements. • 𝐌𝐋𝐎𝐩𝐬 & 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 I design MLOps pipelines with CI/CD for ML, model monitoring, drift detection, and governance. On the data engineering side, I build robust ETL pipelines using Apache Airflow, Talend, AWS Glue, dbt, and Spark. I've architected data lakes and warehouses on AWS, Azure, and GCP with PostgreSQL, MySQL, MongoDB, and Cassandra, implementing real-time streaming (Kafka, Kinesis), data visualization, mining, and extraction. I create data-driven dashboards with Looker Studio, Power BI, Tableau, I also specialize in edge AI for IoT applications and AI-driven data automation. • 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 I create sophisticated workflow automation using n8n, Zapier, and Make, connecting AI capabilities with business systems. I build no-code/low-code solutions (Airtable, Notion) and develop full-stack applications with React and modern JavaScript frameworks, leveraging AI-assisted development for rapid iteration. • 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲, 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 I implement AI/ML security, Zero Trust architectures, and secure AI pipelines across cloud platforms. My DevOps expertise includes CI/CD, Docker, Terraform, and infrastructure automation. I create data-driven dashboards with Looker Studio, Power BI, Tableau, and Grafana. I ensure compliance with CMMI Level 5, SOC2, HIPAA, GDPR, ISO 27001, and PCI DSS for regulated industries. I excel at cross-functional collaboration and stakeholder communication. Whether you need an agentic AI architect, MLOps engineer, data engineering specialist, or end-to-end AI transformation partner, I'm ready to start immediately.

I’m a Data Engineer / Analytics Engineer with strong experience building analytics systems, ETL / ELT pipelines, Cloud Data Warehouses, and BI reporting for product, marketing, and game analytics use cases. My work focuses on turning raw, fragmented data into clean datasets, analytical models, useful metrics, and reporting systems that teams can rely on for decision-making. I work across the full chain: data integration, event tracking, warehouse design, transformation logic, analytical modeling, and dashboarding. What I can help with - ETL / ELT pipeline design and implementation - Data warehouse design and analytics engineering - Data modeling: Kimball, OBT, OLAP - Product analytics, marketing analytics, and game analytics - Attribution, installs, ROAS, retention, churn, cohort analysis - API integrations, cloud data pipelines, and event-driven datasets - BI dashboards and reporting in Metabase - In-app event tracking and event schema design - Translating business questions into practical data models and reporting layers Tech stack - SQL, Python, dbt, Dataform, sqlmesh - BigQuery, PostgreSQL, Blob storage (GCS) - Google Cloud Platform (Cloud Run, Pub/Sub, Scheduler, Secret Manager, etc.) - Docker, UpCloud (Database, VM) - Tableau, Metabase - Experience integrating data from Meta Ads, Google Ads, AppsFlyer, AppLovin, Appodeal, Singular, AppStoreConnect, S3, and other platforms What I do in practice I build data pipelines, analytical models, data marts, and BI-ready datasets that help teams answer business questions. This includes reporting for attribution, app installs, ROAS, traffic sources, retention, churn, cohorts, and other key product and marketing KPIs. If you need help with BigQuery, dbt / Dataform, SQL, Python, ETL / ELT pipelines, analytics engineering, product analytics, marketing reporting, or game analytics, I can help design and implement practical data solutions that are scalable, maintainable, and usable.

We turn fragmented data into your most valuable asset. As the Data Lead at Toolshed and a YC Alum team (Tajir), we specialize in building the high-scale data infrastructure that powers modern enterprises. We do not just move data; we architect the "Single Source of Truth" using the modern data stack: Airbyte, dbt, BigQuery, and Retool. Most companies are drowning in Data Debt—messy pipelines, siloed ERPs, and manual reporting. We provide the engineering rigor and product thinking required to build modular, Domain-Driven Design (DDD) architectures that scale. Whether you are a FinTech startup needing revenue forecasting or a growing E-commerce brand struggling with SKU management, we deliver executive-grade data solutions. 🔹 THE TOOLSHED DATA METHODOLOGY - Architecture First: We design modular DDD systems on GCP and AWS that prevent data silos before they start. - Automated ETL/ELT: We build robust pipelines using Airbyte, Fivetran, and custom Python to ensure 100% data integrity. - Actionable Intelligence: We don't just provide "data"; we build the Retool and Bubble interfaces that allow your team to act on it in real-time. 🔹 FEATURED SUCCESS: VERGO (FINANCIAL DATA WAREHOUSING) Vergo’s construction clients faced fragmented financial data across diverse ERPs, making forecasting impossible. - Unified Data Warehouse: Designed a modular architecture on GCP, integrating multiple ERP sources into BigQuery. - Advanced ETL: Built seamless pipelines using Airbyte and dbt for data consolidation and complex transformations. - ML-Powered Forecasting: Developed a regression-based ML model to predict monthly revenue accurately. - WIP Metrics: Implemented partitioned tables in BigQuery to provide low-cost, on-demand access to Work-In-Progress metrics. 🔹 FEATURED SUCCESS: SULLY.AI (USAGE & BILLING ARCHITECTURE) We replaced manual tracking with a centralized, automated financial ecosystem. - Hybrid Data Pipeline: Built modular pipelines using Airbyte and Fivetran to consolidate HubSpot and Stripe data into BigQuery. - Custom Python Engineering: Developed production-ready scripts for Firestore and GCS sync with automated schema evolution and dynamic flattening. - Granular Analytics: Created real-time visualizations for Agent Usage Metrics (Scribe, Medical Coding, Receptionist) and API performance trends. - Anomaly Detection: Engineered logic to monitor system health and trigger alerts for critical data drops. 🔹 FEATURED SUCCESS: BLI (SALESFORCE PERFORMANCE ANALYTICS) We translated raw Salesforce event history into actionable broker performance insights. - Salesforce REST API: Integrated Opportunity and FieldHistory objects to track real-time status updates. - Velocity Logic: Developed complex SOQL queries to calculate "time-in-stage" using calendar-hour logic for every broker. - Advanced Visualization: Deployed Sankey Diagrams to map deal flow and identify drop-off rates between stages. - Drill-Down Logic: Built an interface to move from high-level aggregations directly into specific client details. 🔹 FEATURED SUCCESS: HOUSE OF SYLAS (SCALABLE OPERATIONS) - SKU Automation: Developed automated systems to manage unique Stock Keeping Units (SKUs) for a high-growth gemstone business. - Centralized Warehousing: Built a unified data warehouse to consolidate fragmented business information. - Workflow Optimization: Streamlined internal processes to enable faster product updates and improved scalability. 🔹 THE TOOLSHED DATA STACK - Data Warehousing: Google BigQuery, Snowflake, PostgreSQL, SQL. - Engineering/ETL: dbt (Data Build Tool), Airbyte, Fivetran, Python. - Frontend & UI: Retool (Official Partner), Bubble.io, React.js. - Cloud & API: GCP, AWS, Salesforce API, GraphQL, REST. "They demonstrated exceptional skills not only as developers but also as true product thinkers... executing with speed and precision." — Rich, CEO of Vergo. If you are ready to turn your data chaos into a competitive advantage, let us connect for a discovery call.

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

I help businesses design, build, and optimize data systems that power better decisions — from dashboards and analytics to cloud infrastructure, ETL pipelines, and AI-enabled workflows. My work spans the full data lifecycle: collecting, transforming, analyzing, and visualizing data so organizations can move from fragmented systems to reliable, scalable business intelligence. Whether you need Power BI or Looker dashboards, SQL and ETL development, cloud data infrastructure, or broader analytics support, I bring both technical depth and business-focused execution. My experience includes enterprise-scale environments such as Meta and Expedia, along with startup and SMB projects where speed, adaptability, and practical solutions matter most. Core areas of expertise: • Data Engineering: ETL/ELT pipelines, workflow automation, data architecture • BI & Dashboarding: Power BI, Looker, Tableau, KPI systems, executive reporting • Analytics: SQL, Python, business insights, product and operational analytics • Cloud & Infrastructure: AWS, Azure, GCP, BigQuery, Snowflake, Redshift • AI & Automation: LLM integrations, analytics automation, scalable data workflows I work with clients across a wide range of needs: Dashboard creation and optimization Data warehouse and pipeline development Cloud migration and modernization Marketing, product, and operational analytics Reporting systems for leadership and decision-making My approach is simple: understand the business objective, solve the technical problem efficiently, and build systems that are practical, scalable, and easy to maintain. From quick dashboard projects to long-term data transformation, I focus on delivering clean execution, strong communication, and solutions that create measurable business value. If you’re looking for someone who can bridge data engineering, analytics, BI, and cloud systems under one roof, I’d be glad to help.