Data Engineer and Analytics Engineer with 6+ years building modern, cloud-based data platforms that turn raw data into business decisions. Have lead the BI & Data Engineering function at a fast-scaling fintech in El Salvador. What I do: • Design and build cloud data warehouses on Google Cloud Platform (GCP) and BigQuery • Develop ELT/ETL pipelines in Python, orchestrated with Apache Airflow • Model data using Kimball dimensional modeling and dbt for transformation layers • Deliver self-service analytics through Looker, Looker Studio, Tableau, and SiSense • Integrate APIs and external sources into unified, governed datasets • Apply IAM, lineage, and metadata best practices for data governance Stack I work with daily: Python · SQL · BigQuery · GCP · dbt · Apache Airflow · Looker · Looker Studio · PostgreSQL · MySQL · MongoDB · Tableau · SiSense · Git Industries: Fintech, Telecom, Financial Services, SaaS I've worked with US, LATAM, and remote-distributed teams across TELUS Digital, AML Partners, Brusus, and Manhattan Associates — delivering certified datasets, production pipelines, and dashboards that executives actually use. Open to: Senior Data Engineer, Analytics Engineer, BI Engineer, and Data Engineering Lead roles — remote, LATAM, or US-friendly time zones.

I work with startups and tech companies that have outgrown their initial data setup. If you're using Snowflake, dbt, or a modern data stack and experiencing performance bottlenecks, rising cloud costs, or architectural complexity, I provide high-level architecture reviews and optimization strategies. Background includes advanced ML optimization research and real-world data platform modernization projects in US-based environments. Let’s turn your data infrastructure into a strategic asset instead of a cost center.

I’m a Salesforce & AI Solutions Architect with 8 Salesforce certifications and 5+ years of hands-on experience designing scalable CRM, fintech, and AI-powered automation systems. I specialize in combining Salesforce, Data Engineering, and AI to build intelligent systems that don’t just store data. They drive decisions. 🤖 AI & Intelligent Automation Expertise I design and implement AI-powered solutions inside and outside Salesforce, including: • GPT / LLM integrations (OpenAI, Gemini, Claude, Perplexity) • Salesforce Agentforce & AI Agents • AI-driven Opportunity insights & forecasting • AI-powered Case routing & summarization • Automated document analysis & PDF intelligence • Revenue anomaly detection (ARR/MRR analytics) • AI chatbots for Communities & Websites • Predictive lead scoring models • Stripe + subscription intelligence systems • Natural language to dashboard/report generation I help companies move from static dashboards to intelligent decision systems. 🧠 Advanced Salesforce Development ✔ Apex (Triggers, Batch, Queueable, Schedulable) ✔ Lightning Web Components (LWC) ✔ Visualforce (PDF generation, document automation) ✔ Flow & Process Automation ✔ Platform Events & Async Architecture ✔ API Integrations (REST/SOAP) ✔ Custom Metadata & Scalable Architecture ✔ Governor-limit optimized, bulk-safe code I follow clean architecture principles, maintain high test coverage, and ensure scalable design patterns. ☁ Salesforce Cloud Expertise • Sales Cloud • Service Cloud • Experience Cloud • Field Service Lightning (FSL) • Marketing Cloud & Pardot • Nonprofit Cloud • Financial Services Cloud • Health Cloud 💳 Fintech & Payment Integrations Strong experience integrating Salesforce with: Stripe (Subscriptions, Webhooks, Billing Automation) Payrix / Rainforest QuickBooks SAP DocuSign / AdobeSign Twilio Marketo Jira Slack Mailchimp WordPress SharePoint I’ve built real-time subscription sync engines, invoice automation, payment reconciliation systems, and ARR/MRR tracking models. 📊 Data Engineering & Revenue Intelligence Beyond Salesforce, I work heavily in: • BigQuery • PostgreSQL • dbt (medallion architecture) • Fivetran / Stitch / Segment • Reverse ETL • Revenue modeling (ARR, MRR, TCV, churn) • Automated snapshot comparisons • Subscription normalization models If your Salesforce data isn’t aligned with Finance. I fix that. 🔄 End-to-End Services Salesforce Development Custom apps API integrations Advanced automation AI-enhanced CRM workflows Performance optimization Salesforce Administration Security & role design Validation rules Approval processes Page layout optimization Automation cleanup Data Migration & System Modernization Legacy CRM migration ETL design Data cleansing Schema optimization 🎯 Why Clients Work With Me • I think like an architect, not just a developer • I combine CRM + AI + Data (rare skill combination) • I build long-term scalable systems • I care about business impact, not just technical delivery • Clear communication & structured delivery 💡 Recent Types of Projects AI-powered revenue forecasting system Stripe to Salesforce real-time sync engine ARR movement tracking automation Intelligent case management with LLM summarization AI university-matching platform Salesforce-triggered fintech automation pipelines

As a highly experienced data engineer and data analyst with 7 years in the field, I possess a wealth of skills and strengths in analysis and database management. I hold a diploma in computer science and a Bachelor's degree in CSE, providing me with a deep understanding of both theory and practical application. As a top-rated plus freelancer on Upwork, I have successfully completed numerous projects and delivered exceptional results to clients. My expertise in data analysis, data visualization, data modeling, and database design allows me to provide insights and solutions that are tailored to my client's specific needs. Some of my notable accomplishments include designing and implementing large-scale data warehouses, creating data pipelines to integrate disparate data sources, and building data analytics platforms for real-time insights. I take pride in my ability to collaborate effectively with cross-functional teams and communicate complex technical concepts in a clear and concise manner. In summary, I am a skilled and dedicated data engineer and data analyst with a proven track record of success. I am committed to delivering high-quality work that meets the needs of my clients, and I am confident that I can provide the expertise and insights necessary to help them achieve their goals.

Strong expertise in SQL and database management, enabling efficient data extraction, manipulation, and reporting. Extensive experience in designing and developing data models and ETL processes for data integration. Proficiency in BI tools such as Power BI, Tableau, or QlikView, creating visually compelling reports and dashboards. Data analysis skills, collaborating with stakeholders to understand business requirements and deliver valuable insights. Data quality management, ensuring accuracy, consistency, and adherence to data governance practices.

I am a Senior Data Engineer with over 14 years of experience specializing in designing and optimizing enterprise data platforms in Azure and AWS environments. Currently, I provide analytics solutions for finance, logistics, and operations, leveraging my strong expertise in analytics engineering. I excel at building cloud-based ELT pipelines, data modeling, and automating CI/CD processes, ensuring reliable, production-grade data models that drive business decision-making. My experience includes migrating legacy data warehouses to scalable cloud-native platforms using AWS S3, Athena, Airflow, and dbt. I thrive in international team settings and am ready for overseas opportunities. If you're looking for a data engineer who can deliver actionable insights and optimize your data strategy, let's connect!

Hi! 👋 I'm Mike from Texas, Senior Software Engineer who commits quality that businesses can trust and rely on. With 13+ years of experience, I work with teams across AI/ML development, workflow automation, cloud architecture, full stack web applications and data pipelines. My focus is delivering solutions that actually solve the problem, not just look good on paper. What I do best: I develop AI and machine learning solutions from custom models to LLM-powered applications and intelligent agents. I build automation workflows that remove repetitive work across business operations, sales and support. I design and maintain data pipelines and warehouses that give teams clean, reliable analytics. I architect secure, cost-effective cloud systems on AWS, GCP and Azure. And I build full stack web applications, dashboards and internal tools end to end. Technical Expertise: AI/ML: OpenAI, Anthropic, Hugging Face, PyTorch, TensorFlow, scikit-learn, LangChain, LlamaIndex, RAG, vector DBs (Pinecone, Weaviate, pgvector) Automation: n8n, Make, Zapier, custom Python and Node.js workflows Data Engineering: Airflow, dbt, Prefect, Kafka, Spark, Snowflake, BigQuery, Redshift, Postgres Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, Terraform, GitHub Actions, CI/CD Languages: Python, TypeScript, JavaScript, SQL, Go Frontend: React, Next.js, Tailwind, Vue Backend: Node.js, FastAPI, Django, Express, GraphQL, REST Need a technical partner to build a successful product and help your business grow? Happy to grab a coffee and discuss your project in detail. 🫱🏻‍🫲🏽

Drowning in messy data, broken pipelines, or manual workflows that waste your team’s time? I build reliable data platforms and AI automations that fix them. I am a Senior Data Engineer specializing in production data systems, AI automation, and cloud integrations. I have designed and built core data platforms and enterprise pipelines for KnitWell Group, generating $6B+ in revenue, and inDrive, serving more than 60M users. I can help you with: DATA ENGINEERING • Build automated ETL and ELT pipelines for batch and real-time data • Integrate APIs, databases, SaaS platforms, files, and event streams • Design scalable data warehouses, data lakes, and lakehouse architectures • Implement incremental loading, validation, deduplication, testing, and monitoring • Optimize SQL queries, pipeline performance, and cloud infrastructure costs • Create trusted data models for Power BI, Tableau, Looker, and custom dashboards AI AUTOMATION • Build AI agents and automated business workflows • Automate document, email, CRM, and customer-support processes • Connect LLMs with databases, APIs, internal tools, and SaaS platforms • Build AI-powered data extraction, classification, summarization, and routing systems • Create reliable n8n, Make, Zapier, webhook, and Python automations • Add validation, human approval, retries, logging, and monitoring to AI workflows Core technologies include Python, SQL, Apache Spark, Airflow, dbt, Kafka, Snowflake, BigQuery, Redshift, Databricks, AWS, GCP, Azure, n8n, Make, Zapier, REST APIs, webhooks, and LLM APIs. My focus is production-ready engineering—not scripts or AI demos that work once and break later. That means dependable pipelines, scalable workflows, clear documentation, automated testing, monitoring, error handling, and systems your team can confidently operate. Top Rated Plus | 100% Job Success Tell me what is currently unreliable, slow, or manual in your data or business workflow, and I will help you identify the cleanest way to automate it.

Looker & BigQuery Expert | SwiftUI iOS Apps | Claude AI Automation | Founder @ RavenCoreX Since 2019 I've helped U.S. SaaS, retail & media companies migrate legacy BI stacks to Google Cloud + Looker, cut BigQuery spend by up to 40%, and deliver dashboards 4× faster. In parallel, I've spent 3 years building iOS apps with SwiftUI — from real-time audio transcription to personal finance engines — all shipped to the App Store. I run RavenCoreX, an AI-native tech studio where I build both the data layer and the mobile layer of products. One example: LKMind, a platform for automated Looker + BigQuery analysis using AI agents and Claude. Another: NotarIA, an iOS meeting intelligence app with real-time transcription, Claude-powered summaries, and StoreKit 2 subscriptions — live on the App Store. Credibility at a glance: • 6,353 Upwork hours – 100% Job Success – Top Rated Plus • $100K+ earned delivering end-to-end data platforms • Hands-on with Looker Standard, Enterprise, GCP Core & Studio • 3 iOS apps in production: NotarIA (App Store), BeMoney, FunnyOuts What I deliver — Data & Analytics: 1. Migrations – Redshift / SQL Server / SSRS → BigQuery + Looker (30+ dashboards moved) 2. AI-powered reporting – Claude-generated commentary wired into Looker Studio or Looker dashboards 3. Performance & cost optimisation – PDTs, datagroups, slot tuning (saved $72K/yr for last client) 4. AI agent pipelines – systems that read data context, generate and review LookML/SQL automatically 5. Governance & security – role-based models, CI/CD with Terraform What I deliver — iOS / SwiftUI: 1. Apps from scratch – SwiftUI + Firebase + Claude AI, built to App Store submission 2. AI features – Claude API integration, on-device Apple Translation, AssemblyAI transcription 3. Monetisation – StoreKit 2 subscriptions, RevenueCat, freemium paywalls 4. Backend integration – Firebase Auth, Firestore, Cloud Functions, GCP 5. Real-time features – WebSocket streaming, AVAudioEngine, live transcription Toolbelt: Data: BigQuery • Looker (all editions) • Looker Studio • LookML • dbt • Airflow • Terraform • Python iOS: SwiftUI • Swift • SwiftData • Firebase • StoreKit 2 • Claude API • AssemblyAI • Xcode AI: Claude API • n8n • AI agent orchestration Typical engagements: • 🔍 Looker Health-Check (2 wks) – performance audit + action plan • 🤖 AI Reporting Setup (1–2 wks) – connectors + Looker Studio templates + Claude commentary • 📱 iOS App Build (6–12 wks) – SwiftUI + Firebase + AI features + App Store submission • 🚀 Pipeline Build (4–6 wks) – GCS → BQ → Looker Studio with CI/CD & docs 👉 Click "Invite to Job" or book a paid discovery call (credited toward the project).

🚀 Senior Data Engineer | Spark • Kafka • Databricks • AWS I help companies build scalable, reliable, high-performance data platforms that handle real-world complexity — from fragmented customer identities to real-time analytics at scale. With 10+ years of experience, I specialize in designing systems that are not just functional, but correct, audit-safe, and optimized for performance and cost. 💡 WHAT I BRING ✔ Designed point-in-time identity resolution systems using temporal modeling to track customers across changing identifiers ✔ Built real-time analytics pipelines using Kafka + Spark for low-latency insights on high-volume data ✔ Led migration from on-prem to AWS + Databricks with scalable, cloud-native architectures ✔ Optimized Spark and SQL workloads processing 100M+ records, reducing runtime from hours to minutes ✔ Implemented audit-first, idempotent pipelines handling late-arriving and backdated data 🛠 CORE EXPERTISE • Apache Spark (PySpark, SQL), Databricks, Delta Lake • Kafka, Streaming Pipelines, CDC • AWS (S3, Glue, Lambda), Airflow • Data Modeling (SCD Type 2, Temporal Models, MDM) • Performance Optimization & Cost Efficiency 🎯 HOW I CAN HELP • Fix slow or failing data pipelines • Build scalable batch + real-time systems • Ensure data correctness with audit frameworks • Optimize cloud cost and performance • Debug complex production issues I focus on delivering production-ready solutions, clear communication, and measurable impact. If you're dealing with slow pipelines, data inconsistencies, or scaling challenges — let’s connect.