Hey friends —
I'm a Analytics Engineer who turns messy tables into decision-ready dashboards. During the last two years at My Amazon Guy, I built Python / SQL pipelines that cut report latency from 6 hours to 15 minutes and trimmed labour-cost burn rate by 3%. My remit spans analytics, data engineering and a dash of data science—all in service of clear, actionable insight for leadership.
To level-up further I'm pursuing the MITx MicroMasters® in Statistics & Data Science, sharpening my toolkit for predictive modelling and optimisation.
Fun fact: I kicked off my tech journey co-running the Discord infrastructure for Vatic, a Clash of Clans community formerly known as Vista Ridge.
Reach me at dan@danlabrador.com or simply drop a note here.
Technical Skills
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Languages & Data Modelling
Daily driver in Python (pandas) and SQL (BigQuery Standard CTEs); comfortable with JavaScript & TypeScript for front-end tweaks and Google App Script automation. Build end-to-end ELT pipelines and test-driven data models that convert raw logs into trusted metrics.
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Data Platforms & BI
Hands-on with BigQuery, Fivetran, Zapier, Airtable, Render Cron and Airflow for orchestration. Visualise KPIs in Looker Studio; integrate HubSpot datasets for full-funnel analytics.
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Cloud & DevOps
Deploy on Google Cloud (BigQuery, Cloud Storage, Cloud Run, IAM) and Render. I'm also learning how to containerise workloads with Docker and experiment with PySpark for distributed processing.
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Collaboration & Version Control
Git-first workflow using Git, GitHub and GitLab; practised in pull-request reviews, agile boards (Jira / Asana) and rich documentation in Notion.
Projects
Most of these projects come from my time in the Uplift Code Camp's Full-Stack Web Development boot camp. I will have this replaced with more data science projects soon.
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API Request Throttlers
Dynamic concurrency & rate-limit library; adopted in 30+ SaaS pipelines and handles > 5M requests/month without SLA breaches.
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Finance-Cron Invoice Ninja Pipeline
Render job syncing Invoice Ninja billing data to BigQuery nightly, powering profit-margin and cash-flow dashboards and eliminating manual exports.
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Asana Data Modeling
SQL models on a Synchub.io-managed Asana dataset powering sprint burndown & workload dashboards for 80+ stakeholders, cutting status-prep 6h/week.
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Credence
Credence is a full-stack application built for organizations to issue, store, and verify digital certificates. It is a project that I made with a team of 4 developers. I was responsible for the project management, code review and quality assurance.
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School of Leaders Portal
A front-end project that I made for our local church. It is a Student Information System that allows the church to manage the students' information and grades. This project is still in progress and will be hooked to a backend system.
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AuroraBeats Playlist Manager
A culmination of a weekend's worth of learning and coding, the AuroraBeats Playlist Manager is my solo project that interfaces with Spotify to manage playlists. It showcases my journey through OAuth, design in Figma, and development with vanilla JavaScript and Tailwind CSS.
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daniellabrador.com (v1)
This was my first attempt at creating a personal website that was made last 2021.
Experience
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Apr 2024 — Present
Analytics Engineer ∙ My Amazon Guy
- Data Pipeline Optimization: Extracted 1.2M rows/day from HubSpot, Slack & Asana APIs into BigQuery via Python + Zapier, cutting latency from 24h to 30min and boosting refresh cadence 48×.
- CRM Development: Spearheaded an in-house CRM MVP; designed ERD, provisioned BigQuery schema, built a pure-Python ingest pipeline, and migrated 350k records with zero downtime.
- Performance Optimization: Cut report runtime about 95% (6h → 15–20min) across 10+ pipelines by redesigning SQL models and leveraging BigQuery slots, saving about 20 analyst hours/week.
- Data Visualization: Built Looker Studio dashboards (300GB warehouse, nightly refresh) for churn, burn rate and profit margin, enabling budget pivots two days faster.
- Finance Integration: Integrated Google Sheets & Invoice Ninja data (about 150k rows/night) via serverless Render jobs, saving Finance 10h/week.
- Security Implementation: Implemented row-level security and authorized views across five departments, eliminating unauthorized access and achieving GDPR readiness.
- Data Pipeline Management: Oversaw HubSpot → BigQuery Fivetran connector; monitored sync health, liaised with Fivetran engineers, and kept error rate < 0.5%.
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Jun 2023 — Apr 2024
QA & Data Reliability Specialist ∙ My Amazon Guy
- Automation Reliability: Reduced major automation outages 94% (every 3.5 days → 68 days) by designing and executing manual test suites for 25+ Python & Zapier pipelines and instituting BigQuery job-health monitoring.
- Test Documentation: Documented 600+ Gherkin-style test cases covering API integrations, ETL edge cases and rate-limit logic, raising defect-detection rate to 98%.
- Incident Management: Led post-mortems and root-cause analyses, cutting mean time-to-recovery from 4h to 40min.
Education
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May 2025 —
Sep 2026MicroMasters in Statistics & Data Science ∙ Massachusetts Institute of Technology
This graduate-level program prepared by MIT provides an in-depth knowledge of data science and time series analysis and teaches how to conduct rigorous analysis that inform decision-making processes and contribute to evidence-based practices across industries.
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Oct 2024 — Aug 2027
BSc (Honours) Computer Science ∙ University of London
This undergraduate program prepared by the faculty of Goldsmiths, University of London teaches the fundamentals of computer science and helps master in-demand programming, mathematical and computing skills through project-based modules.
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Jan — Jun 2024
Full-Stack Web Development ∙ Uplift Code Camp
Completed an intensive full-stack web development bootcamp, mastering both frontend and backend technologies. Built and deployed full-stack applications using MongoDB, Express.js, React.js, and Node.js (MERN stack), while gaining expertise in RESTful APIs and database management.
- Scalable Software Design: Applied Object-Oriented Programming (OOP) and Model-View-Controller (MVC) design patterns to create maintainable and modular applications.
- Data Engineering Foundations: Developed a strong understanding of data structuring and querying in MongoDB, which translates well to relational databases like SQL and BigQuery.
- Backend API Development: Designed and implemented secure, high-performance APIs using Node.js and Express.js, emphasizing scalability and data integrity.
Articles
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How to Manually Test Low-Code / No-Code Systems
In My Amazon Guy, our IT infrastructure is diverse and integrated in nature. They primarily revolves around platforms such as Zapier, HubSpot, Slack, and Asana. I wanna share how our team efficiently navigating the complexities of our QA processes inherent in our systems.
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Building a Playlist Manager with Vanilla JavaScript & Tailwind CSS
Over one weekend, amidst university and work, I embarked on building a Playlist Manager app with Spotify. Facing the unexpected OAuth challenge without prior instruction, my journey through extensive documentation and design foresight became a testament to self-reliance and the importance of pre-planning.
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What I Learned After Deleting Tons of React Files
Explore how I streamlined my React development workflow with essential tips for beginners. From organizing folder structures to leveraging external libraries, discover practical strategies to boost productivity and enhance React skills.
Contact
Feel free to reach out to me on LinkedIn, send me an email at dan@danlabrador.com, or fill out this form. I would love to talk about technology, data science, and how we can work together.