📊 Power BI Developer | Healthcare Analytics & Dashboard Automation | Excel to BI Modernization 📈 I help multi-disciplinary healthcare practices move from manual Excel reporting to real-time Power BI dashboards that drive better decisions on patients, operations, and growth. Our healthcare clients include chiropractic, physical therapy, and medical services. My focus is organizing messy data from EHRs, billing, and practice management systems into clean, visual dashboards that give leadership instant visibility into what matters: new patient trends, department performance, collections, retention, referrals, and financial opportunities. Instead of just building charts, I design the full reporting system. That means connecting your data sources, modeling KPIs that leadership actually uses, automating the manual Excel work you are doing today, and delivering dashboards that are easy to interpret and act on. My Core Expertise for Healthcare BI - Power BI Dashboard Development: Building executive-level dashboards with star schema models, advanced DAX, Power Query, incremental refresh, and Row-Level Security for multi-location practices. - Healthcare Data Integration: Connecting and unifying data from ChiroTouch, EHRs, billing platforms, SQL, and Excel into a single source of truth. Experience with HIPAA-compliant reporting workflows. - KPI & Business Analytics: Defining and tracking the metrics that run your practice: new patients, visit averages, conversion rates, retention, collections, provider productivity, and referral source ROI. - Automation & Workflow Optimization: Replacing manual spreadsheets with automated data pipelines using Power Automate, SQL, and Azure Data Factory so your dashboards refresh daily with zero hand work. - Strategic Reporting: Not just building what you ask for. I help you think through what data matters most, identify inefficiencies, spot growth opportunities, and improve forecasting and planning. Real-World Impact for Healthcare & Service Businesses - Multi-Location PT + Chiro Group: Built a centralized Power BI platform tracking new patients, plan-of-care completion, and revenue by service line. Cut monthly reporting time from 12 hours to 0 and uncovered a 9% collections gap in month one. - Medical + Rehab Clinic: Integrated ChiroTouch, QuickBooks, and call tracking data into automated executive dashboards. Leadership now runs weekly KPI reviews in 15 minutes instead of digging through spreadsheets. - SMB Healthcare Providers: Migrated practices off Excel by designing automated KPI systems for visit averages, retention, and referral tracking, giving owners real-time visibility to make staffing and marketing decisions faster. Whether you need to overhaul slow Excel reporting, unify data across Chiropractic, PT, and Medical departments, or build a scalable BI platform for long-term growth, I build the reporting foundation that helps you run a data-driven practice. Let’s hop on a brief call to review your current spreadsheets and map out how we can turn them into a live dashboard in your first week. Jason

Data Engineer and Power BI Developer specializing in end-to-end ETL Pipelines, Data Modeling, DAX, and Dashboard Development. I bridge the gap between messy raw data and clear business intelligence. By handling the complete data lifecycle—from building automated backend pipelines to designing interactive frontend dashboards—I ensure your data is accurate, fast, and ready for smart decision-making. 🔹 My Expertise: • Automated ETL Pipelines (Extract, Transform, Load via SSIS & SQL) • Data Modeling (Star Schemas, Database Structuring, Performance Optimization) • Power Query (Complex Data Cleaning & Transformation) • Advanced DAX (Custom KPIs, Measures, Business Calculations) • Dashboard Development (Interactive, visually compelling analytics) • Cloud Data Warehousing (Integrating local SQL databases with platforms like Snowflake) 🔹 Tools & Technologies: Power BI | Microsoft SQL Server | SSIS | Snowflake | Power Query | DAX | Excel 🔹 What You Can Expect: ✔ End-to-end automated data systems ✔ Highly accurate, fast-loading reports ✔ Clean, modern, and business-focused visuals ✔ Reliable communication and project delivery Whether you need a massive database migrated and modeled, or a sleek new dashboard built from scratch, I can help you get the absolute most out of your data. 📩 Let’s connect and discuss your project.

I build production-grade data systems that keep running after I hand them over. PhD in Data Engineering (University of Florida). Former Amazon Data Engineer. Currently delivering active pipelines and ML infrastructure for a US-based quantitative research firm. Top Rated on Upwork with a 5.0★ rating. WHAT I BUILD FOR YOU → Excel & VBA Automation Custom VBA workflows, CHRO-ready dashboards, financial models and scenario tools that non-technical users can run with one click. Full refresh in under 60 seconds. Zero formula errors. → Data Engineering & Pipelines Config-driven ETL/ELT pipelines — Python, SQL, dbt, Airflow — ingesting from APIs, databases, and cloud sources. AWS, GCP, Azure, BigQuery, Snowflake, PostgreSQL. → Machine Learning & Quant Analytics Production ML classifiers, quantitative backtesting engines (HAC/Newey-West corrected), BI dashboards in Power BI, Looker Studio, and Tableau. WHAT I'VE DELIVERED • VBA financial model — 14 business units, 1,000+ employees, 3 budget scenarios, full refresh under 60 seconds • Weekly pipeline — 280,930 rows, 66 tech companies, 8-tab automated Excel workbook, zero manual steps • Quant backtesting engine — 817 trading days, ORCL EV/Revenue cheap bucket: +78% median 60-day return at 100% hit rate • Macro pipeline — 20+ FRED series, zero manual refresh, live Looker Studio dashboards; client grew from 30 to 40 hours/week after first delivery • National ML infrastructure — 95% accuracy, AUC-ROC 0.89, adopted across 47 regions by a leading international development partner HOW I WORK I absorb the risk. Every system is config-driven, self-validating, and fully documented so it outlives our engagement. PhD · Data Engineering · University of Florida Former Amazon Data Engineer · 5.0★ Top Rated · Trilingual (English · Swahili · Spanish)

Data Engineer specializing in Snowflake, SQL, dbt, data quality, and analytics. Experienced in supporting enterprise data migration, validation, reporting, and data product initiatives within banking and HR technology environments. Combining a background in software development, data engineering, and business reporting, I help organizations build reliable data solutions, improve data quality, and transform complex data into trusted insights for decision-making. I work closely with engineering teams, analysts, and business stakeholders to deliver scalable data platforms, reporting solutions, and analytics capabilities that drive business value. Areas I can help with: ✔ Snowflake Data Engineering ✔ dbt Development & Analytics Engineering ✔ SQL Development & Query Optimization ✔ ETL / ELT Pipelines ✔ Data Quality Testing & Validation ✔ Data Migration & Reconciliation ✔ Power BI Reporting & Dashboards ✔ Data Analysis & Business Insights ✔ Data Products & Analytics Enablement

If your data pipeline is broken, slow, or nonexistent, I will build it. I'm a data engineer specialising in ETL/ELT pipeline design, real-time data ingestion, and analytics infrastructure. I work with Python, SQL, Apache Kafka, dbt, PostgreSQL, BigQuery, and PySpark to build data systems that run in production — not just demos. What I can do for you: Design and build ELT pipelines using Airflow, dbt, and BigQuery – staging, intermediate, and mart layers with incremental models and schema tests Real-time data ingestion and streaming with Apache Kafka and PySpark Structured Streaming — micro-batch processing, JSON parsing, and time-series storage RAG chatbots and document Q&A systems using LangChain, ChromaDB, and Streamlit — semantic search, source citations, multi-turn memory SQL analytics and query optimisation across PostgreSQL, BigQuery, and MySQL — window functions, CTEs, recursive queries, stored procedures Grafana dashboards for live operational monitoring connected to TimescaleDB hypertables Python automation for data ingestion, transformation, and pipeline orchestration using Pandas, NumPy, and SQLAlchemy Tableau and Power BI dashboards for KPI tracking and business reporting Data quality management: validation, anomaly detection, schema enforcement built into pipelines from day one Dimensional modeling and data warehouse design for scalable analytics What makes my pipelines different: I don't just write scripts — I build systems with failure handling, retry logic, schema validation, and documentation. Every project I deliver includes a README with architecture decisions, how to run it locally, and why I made the technical choices I did. Clients don't get black boxes. Recent projects (all on GitHub): → Real-Time Sales Pipeline — Kafka + PySpark + TimescaleDB + Grafana. Python producer sends 2 synthetic orders/sec to Kafka. PySpark Structured Streaming reads, parses JSON, and writes to TimescaleDB hypertables. 3-panel Grafana dashboard: live revenue gauge, orders/min time series, and product breakdown pie chart. 138+ rows confirmed end-to-end. Full-stack containerised via Docker Compose. → E-Commerce ELT Pipeline — Airflow + dbt + BigQuery on 99K+ Brazilian Olist e-commerce orders. Airflow 2.8.1 orchestration, dbt transformations across staging → intermediate → mart layers with incremental models and schema tests, BigQuery warehouse, fully containerised. Production-grade pipeline design with documented architecture. → RAG Document Chatbot — LangChain + ChromaDB + Streamlit. Ingests PDFs, chunks semantically using Hugging Face embeddings, stores in ChromaDB vector store, and serves answers via LangChain Q&A chain with source citations and conversation memory. Clean Streamlit UI with adjustable chunk size and retrieval count sliders. Runs locally via Ollama — no external API dependency. Tech stack: Data Engineering: Apache Kafka · PySpark · dbt · Airflow · ETL/ELT · TimescaleDB · HDFS · Spark SQL Databases: PostgreSQL · MySQL · BigQuery · TimescaleDB Languages: Python (Pandas, NumPy, SQLAlchemy) · SQL · PL/pgSQL · Spark SQL Visualisation: Tableau · Power BI · Grafana · Matplotlib Cloud: Azure · Google Cloud (BigQuery, GCS) Tools: Git · Docker · PowerShell · Dimensional Modeling Background: P.G. Diploma in Big Data Solution Architecture (Conestoga College, Canada) and M.E. in Computer Engineering (GTU). International experience — studied and worked in Canada: async-first communication, clear documentation, and on-time delivery. If you need someone who builds data systems that actually run in production, let's talk.

I'm Maaz, a Data Engineer and Analytics Specialist with 10+ years of experience building end-to-end data infrastructure for businesses that need more than pretty charts. I've designed and deployed cloud-scale data systems across manufacturing, energy, education, and enterprise environments. My work turns fragmented, messy data into structured pipelines, reliable warehouses, and dashboards your stakeholders actually use to make decisions. Whether you need a pipeline built from scratch, a broken ETL fixed, or a BI layer that finally gives your team clarity, I've done it, and I can do it for you. Services Here's what I deliver: ✅ ETL/ELT Pipeline Design and Automation (DBT, Airflow, Fivetran) ✅ Cloud Data Warehouse Architecture (Snowflake, AWS, SQL Server) ✅ BI Dashboard Development (Power BI, Tableau) ✅ Data Integration across multiple sources (SAP, Azure, Google Analytics, Dataverse) ✅ AI/ML-based Forecasting and Predictive Analytics (Python) ✅ Data Governance, Quality Audits, and Pipeline Optimization ✅ Ongoing Data System Maintenance and Support Expertise - Cloud and Warehousing: Snowflake, AWS (S3, Glue, Redshift), SQL Server, Azure - Pipeline and Transformation: DBT, Apache Airflow, Fivetran, Python - BI and Visualization: Power BI, Tableau - Integration: Google Analytics, SAP, Dataverse, REST APIs - AI/ML: Python (Pandas, Scikit-learn, NumPy), forecasting models, anomaly detection Industries I've built data systems in: Manufacturing | Energy | Education | Enterprise SaaS | Healthcare | E-Commerce I don't just understand data. I understand what matters in each industry, and I build for it. Why Work With Me - You've probably worked with data freelancers who hand you a dashboard and disappear. That's not how I operate. - I work closely with your technical and business teams to understand your KPIs, your pain points, and what "actionable insight" actually means for your organization. Then I build for reliability, scalability, and ROI, not just for submission. What makes me different: - Fluent in both tech and business strategy, no translation needed - Enterprise-grade experience with startup-speed execution - Strong project management and clear communication throughout Education and Experience Master's Degree in Computer Science, specialization in Machine Learning, Big Data, and AI 10+ years of hands-on experience across Data Engineering, Analytics, and Business Intelligence Clients served across North America, Europe, and APAC in complex, multi-stakeholder environments If your data pipeline is broken, your dashboards are unreliable, or you simply don't know what your data is telling you, let's fix that. Send me a message with a brief description of your project. I'll respond within 24 hours with a clear path forward. 📩 Let's build something that actually works.

I help startups and growing teams turn fragmented data into reliable pipelines, trusted metrics, and decision-ready dashboards. I’m an Analytics Engineer with 5+ years of experience building scalable data solutions in fast-paced technology companies. I specialize in SQL, dbt, BigQuery, Python, and Google Cloud Platform. I can help you: • Build and optimize ELT pipelines and dbt models • Design scalable data warehouses and analytics models • Debug slow, unreliable, or overly complex SQL queries • Integrate APIs, spreadsheets, and business systems into BigQuery • Create reliable dashboards for finance, product, marketing, and growth teams • Implement data quality tests, documentation, and monitoring • Automate repetitive reporting and analytics workflows When appropriate, I can also build production-ready predictive models using Python and machine learning. My focus is not just delivering code—it is creating maintainable data systems that your team can understand, trust, and continue using after the project is complete. I prioritize clear communication, well-defined scopes, clean documentation, and practical solutions aligned with your business goals. Whether you need a dbt and BigQuery audit, a broken pipeline fixed, a new reporting layer, or cleaner business metrics, I can help you move from scattered data to reliable insights.

I help businesses unlock powerful marketing insights and automate tedious tasks with data-driven analytics and custom automation solutions. With 10+ years of experience in Growth Marketing Analytics, Google Apps & Ads Scripts, and Data Engineering, I specialize in building scalable reporting systems, streamlining workflows, and enhancing marketing performance. My approach combines deep technical expertise in BigQuery, Python, and SQL with a "business-first" mindset. I don't just build pipelines; I engineer the infrastructure that drives real-time decision-making and automates the tedious workflows that slow your growth. 🔹 Data Engineering & Analytics Infrastructure I specialize in building robust, end-to-end data ecosystems that unify multi-source datasets from platforms like RingCentral, CRM systems, and Marketing platforms. ✔ Scalable Pipelines: Architecting ELT/ETL flows using BigQuery and dbt to create a single source of truth. ✔ Real-Time Ingestion: Deploying webhook-based systems for minimal latency and improved data freshness. 🔹 Marketing Analytics Expertise I have helped businesses optimize their paid and organic marketing efforts by setting up data pipelines, marketing attribution models, and interactive dashboards that provide real-time insights into campaign performance. ✔ Attribution Modeling & Performance Measurement ✔ GA4 Migration & Multi-Touch Attribution (MTA) Models ✔ Data Pipeline Setup for Google Ads, Facebook Ads, LinkedIn Ads, & More ✔ Marketing Spend Optimization & ROI Analysis ✔ Looker Studio, Metabase, Tableau & Google Sheets Dashboards 🔹 Google Apps & Ads Scripts Automation I develop custom scripts and automation tools that eliminate manual work, improve campaign efficiency, and boost marketing impact. ✔ Google Ads Scripts for Automated Bid & Budget Optimization ✔ Automated Google Sheets Dashboards for Real-Time Reporting ✔ Google Apps Script for Business Process Automation ✔ MCC-Level Google Ads Monitoring & Alerting ✔ Smart Keyword & Search Query Optimization My Tech Stack 🔹 SQL / BigQuery / dbt / Dataform– Data pipelines, campaign reporting, advanced queries 🔹 Python & JavaScript – Data automation & API integrations 🔹 Google Ads API & Scripts – Custom automation for Google Ads accounts 🔹 Google Apps Script – Automating workflows in Google Sheets & G Suite 🔹 Tableau / Looker Studio / Metabase – Interactive dashboards & visualizations I have worked with startups, high-growth companies, and marketing agencies, helping them automate reporting, optimize marketing spend, and scale their operations efficiently. 💡 Let’s discuss how I can help you optimize your marketing data and automation workflows!

You can search for me in Linked In by my name as Leonard De Lanerole. I’m a Data Engineer specialising in Snowflake, dbt, Matillion, and Azure, with hands‑on experience delivering scalable analytics platforms across sports, telecom, and enterprise environments. I design and build end‑to‑end data solutions that transform raw data into trusted, analytics‑ready insights. My core expertise includes Snowflake and dbt Cloud modelling, Amazon Redshift data warehousing (raw, curated, and reporting layers), and Matillion ETL for reliable batch pipelines. I’ve worked extensively with Azure Data Factory for orchestration, Azure Logic Apps for integrations and automation, and Power BI for delivering business‑ready reporting. I am Microsoft Azure certified and experienced in production support, performance optimisation, and building maintainable data architectures. I bring a practical, detail‑driven approach and can own data pipelines end‑to‑end—from ingestion to analytics and reporting.

Hi there, I’m Abimola Onibi, a Data Engineer with 5+ years of experience designing and delivering scalable cloud-based data platforms that transform raw data into actionable business insights. I specialize in end-to-end data pipelines, lakehouse architecture, modern ETL/ELT, and cloud infrastructure automation across both AWS and Azure. AWS EXPERTISE ✓ End-to-end ETL/ELT pipeline development (Python, SQL, PySpark, Airflow, Dagster, dbt) ✓ Data lake and lakehouse architecture using S3, Glue, Athena, EMR, Redshift, Kinesis ✓ Scalable data ingestion using Airbyte, Lambda, API Gateway ✓ Real-time streaming with Kinesis Data Streams, Firehose, and MSK (Kafka) ✓ Data modeling for analytics (3NF, Star Schema, Data Vault) ✓ Infrastructure as Code with Terraform, CloudFormation, and Docker ✓ Data quality and observability using Deequ, CloudWatch, CloudTrail ✓ CI/CD automation with CodePipeline and GitHub Actions AZURE EXPERTISE ✓ ETL/ELT pipeline development with Azure Data Factory and Azure Databricks ✓ Data lake and warehouse architecture using ADLS Gen2, Synapse Analytics, and Delta Lake ✓ Batch and streaming data processing with Azure Databricks and Azure Event Hub ✓ Scalable compute and orchestration using Azure Functions and Logic Apps ✓ Data modeling, cataloging, and governance via Azure Purview ✓ Infrastructure automation with Terraform and Azure DevOps Pipelines ✓ Monitoring and optimization using Azure Monitor and Log Analytics CERTIFICATIONS ✓ AWS Certified Data Engineer – Associate ✓ AWS Certified Solutions Architect – Associate ✓ Databricks Certified Data Engineer Associate ✓ AWS Certified Machine Learning Engineer – Associate ✓ AWS Certified Machine Learning – Specialty WHAT I DELIVER ✓ Reliable ETL/ELT pipelines for analytics and machine learning ✓ Scalable cloud architectures across AWS and Azure ✓ Real-time and batch data processing systems ✓ Lakehouse and warehouse architecture ✓ Cost-optimized and production-grade data platforms ✓ Automated data quality, governance, and observability WHY CLIENTS CHOOSE ME ✓ Proven Top Rated Upwork freelancer delivering high-impact data solutions ✓ Strong communication and collaboration skills ✓ Experience reducing data latency, lowering compute costs, and enabling real-time decision systems ✓ Capability to design, build, and optimize full data platforms end-to-end Let’s work together to build scalable, reliable, and future-ready data systems that empower your business with actionable insights.