Hire the Best dbt Engineers

Data Integration specialist with over 19 years of experience in designing, building, maintaining and supporting Data warehouse and ETL applications. Extensive experience working on Snowflake, dbt, Datastage , Informatica, AWS, Unix/ Python Scripting. Experienced with relational databases - Snowflake, Netezza, DB2, Oracle and SQL server. Proficient in writing SQL queries to perform analysis and ELT loads into tables. Experience working on Bigdata tools – HDFS, Hive, Sqoop & Kafka. Exposure to Cloud technologies – ASW and Azure as data sources. Experienced working with diverse clients belonging to - Banking, Manufacturing, Restaurant and Retail domain. Good understanding of end-end architecture of Datawarehouse and applications worked on. Experienced in working on Agile (Scrum) & waterfall methodologies of project execution. Highly motivated, strong analytical skills, quick learner and interested to learn and work on new technologies.

I help companies turn fragmented data into trusted analytics used by leadership and operations. I specialize in building modern data platforms, from ingestion to analytics, using dbt, SQL, cloud data warehouses, and BI tools. My work focuses on clarity, correctness, and business impact, not just pipelines. What I typically help with: Designing scalable analytics engineering layers (dbt, dimensional modeling) Building and optimizing ELT pipelines into Snowflake / BigQuery / Redshift Creating trusted metrics and dashboards for leadership and operations Improving data quality, testing, and CI/CD for analytics Migrating legacy reporting to modern data stacks I work closely with stakeholders to translate business questions into clean data models and actionable insights. If you need analytics that people actually trust and use, let’s talk.

Google Cloud Certified Professional Data Engineer | Turning Data into Decisions and Revenue I’m a Professional Data Engineer passionate about helping companies transform raw, disconnected data into powerful analytics and revenue-driving insights. By combining strong technical expertise with a deep understanding of business impact, I design and implement modern data infrastructures and warehouses that empower teams to make smarter, faster, and data-driven decisions. I specialize in building end-to-end data ecosystems, from ingestion and transformation to visualization and insight delivery, ensuring data flows seamlessly and becomes a strategic asset rather than a bottleneck. 💡 What I Do Build data warehouses and data pipelines on Google Cloud (BigQuery, Cloud Functions, Cloud Composer, GCS) to centralize and automate business data. Design and deploy analytics layers and dashboards (Looker, Looker Studio) that highlight the KPIs and metrics that matter most. Create scalable APIs and automation pipelines with FastAPI, Python, and Docker to integrate data across systems. Support data-driven growth by helping teams understand their performance, optimize operations, and unlock new revenue opportunities. ⚙️ Technical Expertise Languages: Python Cloud: Google Cloud Platform (Certified Professional Data Engineer) : BigQuery, Cloud Run, Cloud SQL, Firestore, Looker, Cloud Composer, Cloud Functions Databases: PostgreSQL, MongoDB Containers & Versioning: Docker, Git Frameworks: FastAPI, Flask Machine Learning: Scikit-Learn, PyTorch 🚀 What Makes Me Different I don’t just move data — I make it speak. My focus is always on the business outcome: helping organizations understand their customers, improve their operations, and generate more revenue through the dashboards, data models, and key metrics I deliver. Let’s connect to discuss how I can help your company build a reliable data foundation, turn insight into action, and grow through intelligent analytics.

I help companies turn messy data into reliable reporting systems, automated workflows, and clear business insights. If your team is struggling with manual spreadsheets, unclear reports, broken dashboards, disconnected data sources, or data that cannot be trusted, I can help you build a cleaner and more scalable data setup. I work with business, marketing, CRM, revenue, product, and blockchain data. My projects often include data cleaning, SQL/dbt modelling, BigQuery pipelines, data extraction, dashboard development, AI-powered workflows, and data quality checks. What I can help with: - Data audits, cleanup, and data quality checks - BigQuery and dbt data models - Automated ETL / ELT pipelines - CRM, marketing, revenue, and operational reporting - Blockchain data analysis and Dune Analytics dashboards - AI integrations for scoring, enrichment, classification, and workflow automation - Looker Studio, Tableau, Retool, and reporting dashboards - SQL troubleshooting and performance improvements - Replacing manual spreadsheet workflows with automated reporting systems Tools I work with include BigQuery, dbt, SQL, Google Cloud, Python, Retool, Looker Studio, Tableau, Snowflake, AWS S3, Dune Analytics, HubSpot, API, and AI tools. My focus is not just creating reports, but building data systems that your team can trust, maintain, and use every day.

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.

⏰ Available 24/7 – Long-term & High-impact Projects Hi, I’m Nghi, a Senior Data Engineer and Data Architect with a strong backend foundation, now focused on building high-performance analytics platforms, explainable data pipelines, and production-grade cloud architectures. I help companies transform unreliable, slow, or opaque data systems into scalable, well-documented, and business-trustworthy platforms. 🧠 WHAT I SPECIALIZE IN 🏗️ Data Architecture & Platform Design - Designing modern lakehouse & warehouse architectures - dbt-first analytics engineering with testing, freshness & lineage - Event-driven and batch hybrid pipelines - Data quality frameworks & SLA monitoring - Customer-facing data explainability systems Tools: dbt, Dagster, Airflow, Spark, Kafka, Snowflake, BigQuery, Redshift, PostgreSQL, DuckDB, ClickHouse ⚡ Database Performance Engineering - If your queries are slow, costs are high, or dashboards lag, This is my zone - Query plan analysis & index strategies - Warehouse cost optimization (Snowflake, BigQuery, Redshift) - OLTP & OLAP performance tuning - High-concurrency workload design 🔄 Reverse ETL & Operational Analytics - Syncing analytics back to CRMs & internal tools - Building real-time metrics pipelines - Feature-store style transformations 🕷️ Enterprise-grade Web Data Extraction - I don’t just scrape pages, I build durable data acquisition systems: - Complex ASP.NET, JS-heavy, authenticated & paginated systems - Anti-bot bypassing & failure-recovery pipelines - Headless browser automation + async scraping - Real-estate, finance, campaign-finance & marketplace platforms ☁️ Cloud Infrastructure - AWS | Azure | GCP - EMR / Dataproc / Glue / Dataflow / Synapse / BigQuery / Redshift - Terraform-based deployments - Cost-aware architectures - Kubernetes + Dockerized data services 🧪 What You Get Working With Me ✔️ Production-ready pipelines ✔️ Clean, testable dbt models ✔️ Well-documented architecture diagrams ✔️ Transparent data logic for non-technical stakeholders ✔️ Systems that scale beyond MVP ✔️ Honest advice and not over-engineering 🏆 Ideal Projects 👍 Data warehouse migrations 👍 Broken pipelines that need debugging & stabilization 👍 Analytics platforms that lack trust or explainability 👍 Performance bottlenecks costing thousands per month 👍 Long-term data platform ownership ❣️ Why Clients Stay Long-Term 🍀Clear communication 🍀 Business-first thinking 🍀 No black-box systems 🍀 I build systems others can maintain 🇻🇳🇻🇳🇻🇳🇻🇳 If your data platform feels fragile, slow, or impossible to explain to customers, I can fix that. Let’s make your data system something you can confidently stand behind.