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.

Data Engineer | Data Analyst | Big Data Consultant I specialize in building scalable data solutions that streamline workflows, automate processes, and unlock valuable business insights. With over 4 years of experience, I have helped businesses integrate, transform, and visualize their data for data-driven decision-making. 🔹 What I Do: ✔ ETL & Data Pipelines – Automating data ingestion using Python, Fivetran, Airbyte, and Keboola ✔ Data Transformation – Structuring and optimizing data with DBT, SQL, and Dataform ✔ Data Warehousing – Managing large-scale databases in BigQuery, Snowflake, SQL Server, Postgres, and AWS Redshift ✔ Data Visualization – Creating insightful dashboards in Looker Studio, Power BI, Metabase, and Tableau 🔹 Data Sources I Have Worked With: ✔ Marketing Data – Google Ads, Meta Ads, LinkedIn Ads, TikTok Ads, Snapchat Ads, Reddit Ads ✔ CRM & Sales – HubSpot, Salesforce, Go High Level, SPP ✔ E-commerce – Shopify, WooCommerce, Amazon Seller Central ✔ Analytics & Tracking – Google Analytics, Mixpanel, Adjust ✔ Payments & Invoicing – Stripe, Xero ✔ Forms & Email Marketing – Typeform, Klaviyo, Active Campaign 🔹 Why Work With Me? ✔ I build automated, scalable, and efficient data solutions that save time and optimize business operations. ✔ My expertise in both data engineering and data analytics allows me to bridge the gap between raw data and actionable insights. ✔ I focus on clean, structured, and well-documented data solutions that are easy to maintain and expand. I’m here to help you automate, clean, and visualize your data so you can focus on growing your business. Let’s discuss how I can contribute to your success!

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.

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.

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.