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I have almost 5 years of experience working with data, having started as a data analyst, then data scientist, and for the past 4 years, as a data engineer. I've worked in many projects related to API consumption, web scraping and automation. I work with Python, SQL, PySpark, and AWS services like Glue, S3, Redshift, and IAM. Also have got experience with Azure services like ADLS and Functions. I have hands-on experience building scalable, production-grade pipelines using the medallion architecture, with automation and orchestration through serverless services. Experience with infrastructure-as-code practices using Terraform. I'm passionate about clean engineering, automation, and creating end-to-end data solutions that drive business value. Related to web scraping these are the tools I use depending on the need: requests, selenium, bs4, playwright. To deal with anti-bot we can always use proxies (that we can gather for free and I do have a database for that already), user-agents and cookies to mimic human like behavior. We scrape the data as json, html, xml or plain text and turn them into structured data as an EXCEL file, csv, database etc.

You probably think clicking "deploy" on Databricks from the cloud marketplace is all it takes to build a modern data stack. Instead, you get unmanageable infrastructure, skyrocketing costs, and pipelines feeding reports nobody trusts. 𝗜 𝗳𝗶𝘅 𝘁𝗵𝗮𝘁. 𝗡𝗼 𝗮𝗴𝗲𝗻𝗰𝗶𝗲𝘀, 𝗻𝗼 𝗯𝗹𝗼𝗮𝘁. Just a multi-certified, 5+ years of experience Cloud Solutions Architect building automated, high-integrity platforms that turn raw data into a competitive advantage. If you shoot me a invitation or message I'll send you a personalized Loom video back on how I may be able to help you; and of course, to prove that I'm the real deal, 𝗻𝗼 𝗔𝗜 𝗶𝗻𝘃𝗼𝗹𝘃𝗲𝗱! Whether you are building a greenfield lakehouse from scratch or migrating legacy systems to the cloud, I architect efficient, cost-effective environments that scale without the overhead. I understand the business bottom line just as well as the underlying code. ✪ 100% Job Success Score | 5.0★ average ✪ Proven experience on multi-cloud architectures 💡 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼: • 𝗗𝗮𝘁𝗮 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: I build production-ready environments using Terraform. No manual marketplace or standard deployments that break at scale. • 𝗥𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Raw data becomes actionable. I build resilient Medallion architectures and automated ETL/ELT pipelines so your stakeholders actually trust the numbers. • 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗠𝗟𝗢𝗽𝘀: I bridge the gap between data engineering and machine learning. Using MLflow and Databricks Model Serving, I operationalize models into scalable, real-time REST endpoints and automated streaming inference pipelines. • 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 & 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆: Proper data governance utilizing Unity Catalog (no legacy Hive metastores) to ensure your data is accessible, secure, and future-proof. • 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝘀𝘁 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Most companies overspend on cloud infrastructure. I architect systems that pay for themselves in weeks by eliminating overhead and inefficiencies with efficient auditing and monitoring features. ✅ 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 (𝘃𝗲𝗿𝗶𝗳𝗶𝗲𝗱): • Databricks Professional Data Engineer • Databricks Associate Data Engineer • Databricks Lakehouse Fundamentals • GCP Professional Data Engineer • GCP Associate Cloud Engineer • GCP Cloud Digital Leader • AWS Associate Solutions Architect • AWS Cloud Practitioner 🔧 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝗖𝗹𝗼𝘂𝗱 𝗦𝗲𝗿𝘃𝗶𝗰𝗲𝘀: • 𝗗𝗮𝘁𝗮𝗯𝗿𝗶𝗰𝗸𝘀: Workflows, LDP (Lakeflow Declarative Pipelines), Unity Catalog, Workflows, Databricks SQL, MLFlow. • 𝗔𝗺𝗮𝘇𝗼𝗻 𝗪𝗲𝗯 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 (𝗔𝗪𝗦): EMR, Athena, Redshift, Glue, S3, RDS, Kinesis Data Firehose, Kinesis, and Data Streams. • 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 (𝗚𝗖𝗣): Bigquery, Dataform, Composer, Dataflow, Dataproc, Cloud Storage, Pub/Sub, Cloud Functions, and Looker Studio. • 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗔𝘇𝘂𝗿𝗲: Data Factory, Synapse, and Storage Account. • 𝗢𝘁𝗵𝗲𝗿𝘀: Terraform, dbt, Airflow, Airbyte, Hadoop, and Hive. ⚙️ 𝗖𝗼𝗿𝗲 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: • 𝗥𝗼𝗹𝗲𝘀: Data Architect, Data Engineer, Solutions Architect, Platform Engineer • 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: Databricks (Delta Lake, Unity Catalog, Lakeflow, Workflows), BigQuery • 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲: Infrastructure as Code (IaC), Terraform, Multi-Cloud (AWS, GCP, Azure) • 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Medallion Architecture, Data Lakehouse, Data Governance, Data Quality, Machine Learning • 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: PySpark, Python, SQL, dbt, Apache Airflow, ETL/ELT, CDC, Batch and Stream Processing

💡Let's transform your SaaS idea into a revenue-generating MVP in 30 days, helping you find product-market fit 3x faster and secure your first paying customers. Let's make it happen! 🏆Achievements and Happy Customers! • Rescued an Agriculture SaaS business (Itricorp) by rebuilding their failing core platform into a better version just in time to secure their market position. ➡️ "I could say what I needed, and ByteNaNa turned it into code." - Jim Etro, CEO, Itri Corporation • Partnered with a garage startup to build their entire IoT SaaS platform, scaling Watchdog Home Monitor into a successful, market-ready business. ➡️ “The team is extremely responsive and easy to speak with.” - Trey Welstad, CEO, Snowbird • Led the successful launch of a B2C SaaS (GenoStories) on the App Store & Google Play by rescuing and stabilizing its failing legacy codebase. ➡️ "What impresses us most about Bytenana is their ability to deeply understand the emotional purpose behind our product." - Alba D Reboyras, Co-Founder, Genostories Inc • Engineered a mission-critical Industrial IoT SaaS for the mining sector, enabling predictive maintenance and significantly reducing costly operational downtime. ➡️ "They listen to the problem and deliver software that works at a fair cost." - James Trace, CEO, Multotec • Developed a custom content automation SaaS that saved us the full cost of a dedicated social media employee every month. ➡️ "Bytenana is the best place to work!" - Bytenana Team (It is true! People love working here.) 🧠Consultants first, developers second. We work side-by-side with founders, CTOs, and operations leads to solve real business problems — not just ship code. 🧐🧐🧐🧐 Hey, no need to believe us, check the verified reviews from our customers and also demo videos in the portfolio below. (I mean, our faces are there, can't make that up!) 😌😌😌😌 ------------------------------------------------------------------------ ⚙️Our Tool Box 🤖 AI TECHS LangChain | n8n | Make | OpenAI/GPT-4 and other models | Pinecone | Supabase | RAG | AI systems | Lovable.ai | Cursor.ai | Aider → Sales Pipeline and Follow-up Automation • Deep Personalization Cold Outreach System • Proposal Automation System • AI-Powered Content Creation for Social Media Lead Generation • SEO AI Content Producers • Recruiting and Candidate Screening Automation • AI Chatbot 🔍 Context Engineering - deep requirement elicitation with AI-powered discovery sessions eliminate guesswork and ensure pixel-perfect delivery and fast prototyping. 🌐 Frontend & Visualization Mapbox GL | React | JavaScript | PowerBI | Tableau | Superset → Interactive maps • Real-time dashboards • Mobile-responsive UIs 🗄️ Backend & Databases PostGIS/PostgreSQL | GeoServer | Node.js | Express | GeoDjango | Java Spring | Next.js | N8N | Swagger → Spatial query optimization • Feature services • High-concurrency APIs 📶 Data Engineering Python | Geopandas | Shapely | Scrapy | Selenium | BeautifulSoup | ADF | Microsoft Fabric | Spark | Mage.ai | Apache Airflow | AirByte | Databricks | Snowflake | Pub/Sub | CDC | Prefect | DBT | Amazon Glue | Kafka | Oracle | Postman → Parcel/zoning extraction • ETL automation • Geometry processing • Stream processing • Reporting • Data integration • Data migration • Observability • Data Governance • Storage ☁️ Cloud Infrastructure AWS (Lambda, S3, RDS) | GCP | Docker | Kubernetes | Serverless | Azure | CloudFlare | → Scalable pipelines • Cost-optimized architecture • CI/CD deployment 🗺️ Spatial Intelligence QGIS | GDAL | Turf.js | Leaflet | Geocoding | Open Street Maps OSM | Google APIs | OGR → Suitability analysis • Geoprocessing

I'm a experienced data professional with a solid track record in data engineering, python automation, and API integrations. Here on Upwork, I've been delivering good quality work for Canada and USA companies, most of them related to Data Engineering, Data Analytics, Data Scraping and API integrations. My success rate is a proof of my quality work. Outside of Upwork, my latest full-time role was at a U.S.-based fintech company, where I supported settlement and trading operations by building robust tools for data processing, integrations, automations, and reconciliation into the blockchain industry. Previously, I worked at the financial services industry, where I built internal Streamlit apps, automated portfolio validation processes, and integrated APIs to handle investment data in real time. I also contributed to one of Brazil's leading hedge funds, where I developed Python tools to analyze market sentiment and support equity desk traders and managers. My core skills include: - ETL & Process Automation (Python, SQL, APIs, multithreading) - Data Engineering (data pipelines, performance optimization, reporting) - Cloud Infrastructure (Digital Ocean, droplets) - Analytics Engineering (dbt) - Web Scraping (Scrapy, Playwright, Selenium, bypassing bot protections, Apify) - BI development and analytics (Metabase, Power BI, Streamlit, Tableau) - API integrations (RESTful, GraphQL, FIX) - CRM automation and reporting (Hubspot, SugarCRM, Pipedrive, Monday[.]com) Let’s connect to automate, scale, and make your data work for you.

⚡Top Rated Data/Web Scraping & Automation Expert 🏆100% Job Success 🚀 1000+ Projects⌛ 15+ Years of Experience ⭐ My name is Gabriel — a Data Scientist with more than 15 years dedicated to web scraping, data scrape, data extraction, lead generation, dataset cleaning, enrichment, validation, parsing, de-duplication, matching, Python automation, AI-powered workflows, and multi-source data processing. I help clients and businesses collect and structure accurate, reliable data from websites, APIs, client-authorized platforms, paid data providers, SaaS tools, CRMs, marketplaces, Google Maps, directories, B2B databases, product catalogs, review systems, real estate portals, and industry-specific platforms. My custom solutions turn unstructured data into clean, reliable information that supports marketing, operations, research, and decision-making — even across dynamic content, pagination, and complex data flows. Started coding at 13 driven by pure curiosity, I've spent my career mastering how data moves, connects, and transforms into actionable business intelligence. Every project is executed with speed, precision, and strict adherence to ethical rules and applicable laws — with professional, engineered data solutions only. 🚀 What I Deliver * Web Scraping & Data Extraction — I build custom data collection solutions that handle dynamic content, JavaScript rendering, pagination, filtering, and complex data flows from authorized or public sources. * Lead Generation & B2B Data — Prospect lists, company databases, contact enrichment, industry research, competitive intelligence, and market analysis from business directories, professional networks, and sector-specific sources. * Data Cleaning & Processing — Transform messy data into clean, structured datasets through deduplication, normalization, validation, formatting, parsing, and multi-source merging ready for Excel, databases, CRMs, or BI tools. * Multi-Source Integration — Combine data from APIs, websites, spreadsheets, databases, SaaS platforms, and client-authorized portals into unified, analysis-ready datasets. * AI-Driven Automation — Intelligent workflows using Python, n8n, and AI agents for classification, enrichment, decision logic, scheduled data collection, and semi-autonomous research tasks. All data collection strictly complies with website terms of service, robots.txt protocols, and applicable data protection laws. 📊 Industries I Worked With Based on 1,000+ completed projects across: * B2B & SaaS — Business directories, corporate sites, company information, employee details, tech stacks, executive contacts (CEO/CFO/VP), industry-specific platforms, targeted lead lists, business intelligence data, and structured B2B databases. * Retail & E-Commerce — Product data, pricing intelligence, availability tracking, SKU mapping, competitor monitoring, marketplace analytics * Real Estate & Location Data — Property listings, business directories, Google Maps data, local services, facility databases, geographic datasets * Automotive — Vehicle listings, rental platforms, parts catalogs, dealer inventories, equipment marketplaces * Professional Services — Law firms, healthcare practices, dental clinics, consulting firms, service-based business data * Marketing & Agencies — Campaign data, review mining, SEO research, competitor analysis, social media insights * Hospitality — Hotels, restaurants, tourism services, booking platforms, review aggregation * Education — Schools, training centers, course catalogs, academic programs, institutional data * Finance & Legal — Public records, corporate filings, compliance databases, professional registries * Logistics & Services — Moving companies, delivery services, freight platforms, service directories ⚡ Why Clients Choose Me ✔️ Always on budget ✔️ Clear expectations from day one ✔️ Fast, consistent turnaround ✔️ Crystal-clear communication ✔️ Accurate, ready-to-use data every time ✔️ Custom-built solutions for your needs ✔️ Flexible to any project size ✔️ Lifetime support included ✔️ 100% reliability you can count on If you’re looking for accurate, efficient, and well-engineered data solutions, I’m here to help and ready to get started. How can I assist you today?

I help data‑driven companies turn messy, legacy data into AI‑ready foundations and intelligent agents. In the last years I have: - Designed full‑stack AI agent ecosystems using LangGraph (workflow orchestration, REST APIs, Databricks SQL). - Improved a WhatsApp real‑estate chatbot by implementing Text‑to‑SQL with LangChain and PostgreSQL views (more accurate answers, less manual support). - Built Microsoft Fabric Lakehouse architectures (30+ tables) and semantic layers ready for analytics and AI. Led large‑scale data migrations (100M+ records) from SAP HANA and Oracle into modern Lakehouse architectures. What I can do for you: - Design and implement AI agents and chatbots (customer support, operations, analytics copilots) using LangGraph, LangChain and LLM APIs. - Build RAG and Text‑to‑SQL systems on top of your data warehouse / lakehouse (Fabric, Databricks, SQL Server, PostgreSQL, DynamoDB). - Prepare your data for AI (Medallion architecture, Lakehouse design, semantic models, streaming ingestion). - Migrate and modernize legacy data (SAP, Oracle, on‑prem SQL) into cloud‑native, AI‑friendly platforms on Azure or AWS. Tech stack: - Python (advanced, multiprocessing, Pydantic), SQL, PySpark and a little Javascript - LangGraph, LangChain, Azure OpenAI / OpenAI, Databricks, Microsoft Fabric - Databases: Oracle, SAP HANA/ECC, PostgreSQL, SQL Server, DynamoDB, Aurora If you need to make your data usable by AI or build agents on top of it, I’d be happy to discuss your project. Also Certified Fabric, Azure, Oracle