Hire the Best Knorr Associates DataPipe Specialists

I'm a Python developer based in Bogotá with three years of experience building automation and data pipelines for enterprise billing operations, including EDI processing systems currently running in production. Most of my work falls into a few categories: - Data extraction: pulling lead lists, pricing data, or directory listings from public sources, working within each site's access rules and rate limits. - Spreadsheet automation: replacing manual, repetitive Excel work with Python scripts that update on their own. - Dashboards and reporting: Power BI or custom Python dashboards built around the numbers that actually matter to your business. - ETL pipelines: recurring data collection and transformation jobs that run reliably without ongoing supervision. I write code meant to be maintained, not just to work once, I also document what I build so someone else can pick it up if needed. Happy to start with a small paid test task before committing to a bigger project. Comfortable working across US time zones.

📊 10+ years of experience. Clean data. Dashboards that get used. Pipelines that don't break. I help startups and small businesses turn raw, messy data into clear insights and automated systems — so leadership can make faster, better decisions without drowning in spreadsheets. I cover the full analytics stack: from defining the right metrics and structuring data, to building reliable ETL pipelines, interactive dashboards, and ML models that drive real business outcomes. 💬 "Highly professional, technically strong, and reliable... His expertise in Apache Superset, Airflow, and data visualization was evident from day one. He helped to structure workflows efficiently and built meaningful dashboards." — Upwork Client 🔧 WHAT I DO 📈 Dashboards & BI — Interactive dashboards in Superset, Tableau, Metabase and Looker Studio. Built 40+ dashboards for product, ops, finance and marketing teams at VK and beyond. 🔄 ETL & Data Pipelines — End-to-end pipelines with Apache Airflow and Python. Automated ingestion, transformation, alerting and data quality monitoring. 🧹 Data Cleaning & Transformation — SQL and Python (Pandas) to turn messy exports into analysis-ready datasets. 📊 ML & Predictive Modeling — Scoring models, clustering, regression and forecasting. Built and deployed models in production at Credit Bank of Moscow and VK. 🔍 Ad-hoc Analysis & Reporting — Deep-dive analysis, A/B testing, funnel analysis, cohort analysis and weekly performance reports. 🤖 AI-Assisted Development — I use Claude and GPT daily via VS Code to accelerate Python scripting, write and debug SQL, and speed up Airflow DAG development. AI is part of my workflow — not a service I sell separately, but a tool that makes my delivery faster and cleaner. 🚀 FEATURED PROJECT — Telegram News Aggregator (Production) Built a fully automated news intelligence platform that collects, processes, and distributes content from 500+ Telegram channels across 4 languages. Hourly ETL pipeline collecting ~1,000 posts/day with AI-generated summaries and automated Telegram distribution Hybrid search (full-text + vector RAG) via FastAPI with multi-LLM response aggregation Telegram Mini App (React + TypeScript) for end-user content discovery BI analytics layer in Apache Superset over PostgreSQL 12 interconnected microservices orchestrated via Airflow (CeleryExecutor) Multi-threaded LLM processing with API key rotation — 3-5x speed improvement Diagnosed and fixed production PostgreSQL connection exhaustion incident Stack: Python · Airflow · PostgreSQL · OpenAI GPT-4o-mini · LangChain · Weaviate · Elasticsearch · FastAPI · Docker · Redis · React/TypeScript · Superset 🛠 TOOLS & STACK BI & Visualization: Apache Superset · Tableau · Metabase · Looker Studio · Dash Data & SQL: ClickHouse · PostgreSQL · MS SQL Python: Pandas · NumPy · Scikit-learn · CatBoost Pipelines: Apache Airflow · Docker · Git · Redis AI: Claude API · GPT-4o · LangChain · Weaviate · Elasticsearch ML: Logistic Regression · CatBoost · Clustering · Forecasting 🎯 MY PROCESS Understand your business goal → Define the right metrics → Clean and structure the data → Build reliable, scalable output → Hand over with documentation. No overengineering. No scope creep. Clean work, clear communication, fast turnaround. 📩 Send me your project — I'll come back with a clear plan and realistic timeline.

Hi, my name is Kevin, I help B2B service companies, SaaS teams, agencies and operations-heavy businesses turn messy data, manual workflows and disconnected systems into cleaner, automated business operations. My work sits at the intersection of data science, analytics engineering, intelligent automation and business systems. I use SQL, Python, Power BI, ETL/ELT workflows, APIs, CRM automation and workflow automation tools to help teams clean up their data, trust their reporting and reduce the manual work slowing them down. Core areas I can help with: • SQL, advanced queries, joins, CTEs, window functions, data modeling and query optimization • Python, Pandas, API integrations, automation scripts, data cleaning, transformation and validation • ETL/ELT pipelines, data migration, data ingestion, workflow orchestration and data quality checks • Power BI dashboards, reporting layers, DAX logic, KPI tracking and business intelligence workflows • CRM automation, lead routing, pipeline cleanup, lifecycle stages, follow-up workflows and task automation • HubSpot, Salesforce, Pipedrive, Zapier, Make, n8n, ClickUp, Google Sheets, Airtable and API-based integrations • Data QA, reconciliation, row count checks, threshold checks, deduplication, reporting accuracy and process documentation • RevOps, GTM analytics, marketing analytics, lead management automation, client onboarding and recurring service workflows The problems I usually solve look like this: • Leads come in from multiple channels, but routing, follow-up, scoring and nurturing are inconsistent. • The CRM has useful data, but the pipeline is messy, lifecycle stages are unclear, duplicates keep showing up and the team does not fully trust the system. • Reports exist, but the numbers do not match across Salesforce, HubSpot, Stripe, Google Sheets, Power BI, Looker, or the source database. • Dashboards look fine on the surface, but the SQL logic, data model, or ETL process underneath is weak. • Managers spend too much time chasing updates, checking task status, reminding people what comes next, or manually moving work between tools. • Client onboarding, project delivery, recurring service management, handoffs, reminders and renewal workflows depend on too many manual steps. • Marketing, sales and operations teams need better visibility into KPIs, conversion rates, revenue, pipeline, client delivery and team performance, but the data is scattered across too many systems. I look at the full business workflow, not just one dashboard, script, or automation. I trace where the data comes from, how it moves, where it breaks and what the team actually needs to make faster decisions.

Are you looking for a dependable freelancer who can handle detailed data, research, e-commerce, and administrative tasks accurately and on time? I am a Top Rated Upwork freelancer with a 100% Job Success Score and more than 1,000 completed hours. I have experience supporting e-commerce businesses, startups, and global organizations with data entry, product research, listing management, CRM updates, reporting, customer support, and everyday business operations. I can assist with: • Data entry, cleanup, validation, and organization • Excel and Google Sheets tasks • Product research, listing updates, and image sourcing • E-commerce catalog and marketplace support • Web research and data collection • CRM and database maintenance • PDF and document editing or conversion • Administrative and virtual assistance • Customer support and order processing • Reports, dashboards, and data visualization • Basic graphic design and content creation Tools I have worked with include: Microsoft Excel, Google Sheets, Power BI, Looker Studio, Salesforce, HubSpot, Shopify, Canva, Adobe Photoshop, Google Workspace, Microsoft 365, ClickUp, Jira, and AI tools such as ChatGPT, Claude, and CoPilot. My clients value my attention to detail, reliability, responsiveness, and willingness to take ownership of the work. I am comfortable following established procedures, learning new systems, and handling repetitive or detail-heavy projects. I am available for both short-term tasks and ongoing support. Send me the project details, expected output, and deadline, and I will let you know how I can help.

AI systems are easy to demo and hard to trust. Retrieval drifts, automation turns flaky, data quietly goes wrong, and it's usually production that finds out first. I build AI and automation that stays reliable after launch, backed by 20+ years of quality and data engineering. 🏅 Senior AI & Automation Engineer with Two Decades of Experience: Across enterprise, federal, and high-security systems, including 8+ years at the IRS. My strongest areas are AI development and automation, supported by deep experience in QA, data/ETL, and API engineering. I pair modern LLM work (RAG, AI agents, workflow pipelines) with the testing and data rigor that keeps real systems dependable. I can take you from idea to production: architecture, build, AI integration, test automation, data validation, and the guardrails that keep it all running long after the demo. Dive into my services: ⨠ AI & Automation ⨠ RAG & LLM apps, AI agents, Voice AI agents, workflow automation (n8n, Make, Zapier), AI-assisted test generation, chatbots & document processing ⨠ Test Automation ⨠ Playwright, Selenium, cross-browser sharded CI, flaky-test quarantine, visual regression, accessibility & security checks ⨠ QA & Data/ETL ⨠ functional, regression, performance & load testing, ETL & data validation (Python + SQL), data-migration & pipeline integrity ⨠ Python & API ⨠ REST/SOAP API automation, Postman, SoapUI, Python scripting, backend validation, CI/CD (GitHub Actions) Recent Projects: ▶ RAG Knowledge Assistant Built a retrieval-augmented assistant grounded in a client's own documents: ingestion, chunking, embeddings, vector search, and fallback handling that keep answers accurate and inside the source material. ▶ AI Agent & Workflow System Developed AI agents that plan and execute multi-step tasks with tool-calling, memory, and orchestration, automating real business workflows instead of one-off chat responses. ▶ Voice AI Agent Built a real-time voice assistant combining speech-to-text, LLM reasoning, and streaming responses for natural, hands-free conversation. ▶ AI Workflow Automation Automated end-to-end business processes with n8n, Make, and Zapier: event-triggered pipelines that classify, route, and act on data across tools with no manual steps. ▶ AI Log & Report Intelligence Used OpenAI APIs to summarize logs, generate test plans, and draft docs across microservice environments, with reusable prompt templates that cut manual write-up time. ▶ AI-Assisted Test Automation Framework Used LLMs (OpenAI API, Copilot) to generate suites, scaffold flows, and expand edge cases on a Playwright framework, accelerating test development ~30% while keeping human review on every line. ▶ Enterprise Test Automation & API Validation Built cross-browser Playwright suites with sharding and flaky-test quarantine that cut CI time 30-40%, and led REST/SOAP and JMeter performance testing across on-prem and cloud for a large federal system, cutting manual effort 30%. ▶ Enterprise Data & ETL Validation Validated end-to-end data across a mainframe to Java to Oracle modernization and high-volume payment systems (ACH, Wire, SWIFT), verifying transformation accuracy, integrity, and lineage using Python and SQL. ▶ Power Apps & Salesforce Test Automation Authored UI test flows and Power Fx assertion suites in Power Apps Test Studio, plus Salesforce automation, complemented by Copilot-generated test plans and automated regression integration. My Skills: - AI Engineering: LLM applications, RAG, AI agents, embeddings, vector search, prompt engineering, workflow automation (n8n, Make, Zapier), voice AI, OpenAI, Claude, Gemini, Pinecone/FAISS. - Automation & QA: Playwright, Selenium, PyTest, functional/regression/performance/load testing, JMeter, visual regression, axe-core, OWASP ZAP. - Data & ETL: Python, SQL, ETL and data validation, data integrity, SQL Server, MySQL, Oracle, data pipelines. - Backend & API: REST/SOAP APIs, Postman, SoapUI, API automation, backend validation, integration testing. - DevOps: GitHub Actions, CI/CD, Docker, deterministic pipelines, reporting (Allure/HTML). If you need someone who can take an AI or automation project past the demo and make it hold up in production with real testing, clean data, and dependable pipelines behind it, send me a message. 📧 I'll help you plan the right approach and build it properly.

¸¸♬·¯·♪·¯·♫¸¸ 𝗪𝗲𝗹𝗰𝗼𝗺𝗲 𝘁𝗼 𝗺𝘆 𝗽𝗿𝗼𝗳𝗶𝗹𝗲! ¸¸♫·¯·♪¸♩·¯·♬¸¸ I'm a Senior Data Engineer & Cloud Data Architect. I bridge the gap between fragmented raw data and high-performance, analytics-ready infrastructure. Whether you need to build a scalable data warehouse from scratch, transition from legacy ETL to modern dbt/Databricks stack, optimize costly cloud queries, or power real-time AI/ML applications, I specialize in architecting reliable, zero-downtime data pipelines across AWS, GCP, Azure, Snowflake, and BigQuery. ⚡ 𝐂𝐨𝐫𝐞 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 1. End-to-End Modern Data Stack (MDS) & ETL/ELT Pipelines Designing and deploying automated, resilient pipelines that extract, clean, transform, and load petabyte-scale data into centralized analytics hubs. ◾ Batch & Stream Ingestion: Building automated ingestion jobs from SaaS applications, REST APIs, webhooks, and legacy DBs using Fivetran, Airbyte, Kafka, and Debezium (Change Data Capture - CDC). ◾ Analytics Engineering: Modular, version-controlled transformations with dbt (Data Build Tool), custom SQL, and PySpark-complete with automated documentation and lineage tracking. ◾ Workflow Orchestration: Designing DAGs, automated retries, and monitoring alerts using Apache Airflow, Prefect, Dagster, and AWS Step Functions. 2. Cloud Data Warehousing & Lakehouse Architecture (Snowflake, Databricks, BigQuery) Structuring high-efficiency, cost-optimized databases designed for instant analytical querying and BI dashboard performance. ◾ Warehouse Optimization: Clustering keys, partitioning, materialization, micro-partitioning, and query tuning to cut monthly cloud compute/storage costs by 30%–60%. ◾ Lakehouse & Open Table Formats: Architecting Delta Lake, Apache Iceberg, and Hudi layers on AWS S3/GCP Cloud Storage using Medallion Architecture (Bronze -> Silver -> Gold). ◾ Data Modeling: Dimensional modeling (Kimball methodology), Star/Snowflake Schemas, Data Vault 2.0, and Wide Flat Tables (OBT) optimized for Looker, Tableau, and PowerBI. 3. Real-Time Data Streaming & Event-Driven Systems Enabling millisecond-latency processing for live dashboards, fraud detection, dynamic pricing, and real-time operational metrics. ◾ Event Streaming: Setting up Apache Kafka clusters, AWS Kinesis, GCP Pub/Sub, and RabbitMQ with event serialization (Avro, Protobuf). ◾ Real-Time Analytics: Developing continuous stream-processing engines using Apache Flink, Spark Streaming, and ClickHouse/RisingWave for immediate insight delivery. 4. Data Quality, Governance, MLOps & AI Infrastructure Ensuring every byte of data entering your reporting systems is accurate, secure, compliant, and ready for advanced analytics or LLM applications. ◾ Data Quality & Observability: Automated schema validation, anomaly detection, and data testing using Great Expectations, Soda, and dbt test suites. ◾ AI/ML Infrastructure: Vector database setup (Pinecone, Weaviate, Qdrant, Milvus), RAG pipeline data ingestion, and feature store integration (Feast) for AI model training. ◾ Governance & Compliance: Role-Based Access Control (RBAC), Column/Row-level masking, PII obfuscation, and automated lineage mapping for GDPR/HIPAA compliance. ⚡ 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 & 𝐅𝐫𝐚𝐦𝐞𝐰𝗼𝗿𝐤𝐬 𝐈 𝐇𝗮𝘃𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐞𝐝 - 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻: Apache Airflow, Prefect, Dagster, Mage, AWS Step Functions, MWAA - 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲𝘀 & 𝗘𝗻𝗴𝗶𝗻𝗲𝘀: Snowflake, Google BigQuery, AWS Redshift, ClickHouse, Trino/Presto, DuckDB - 𝗗𝗮𝘁𝗮 𝗟𝗮𝗸𝗲 / 𝗟𝗮𝗸𝗲𝗵𝗼𝘂𝘀𝗲: Databricks, Apache Iceberg, Delta Lake, Apache Hudi, AWS Glue, PySpark, Apache Spark - 𝗘𝗧𝗟 / 𝗘𝗟𝗧 & 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: dbt (Core & Cloud), Airbyte, Fivetran, Kafka Connect, Debezium, Meltano - 𝗦𝘁𝗿𝗲𝗮𝗺𝗶𝗻𝗴 & 𝗠𝗲𝘀𝘀𝗮𝗴𝗶𝗻𝗴: Apache Kafka, AWS Kinesis, GCP Pub/Sub, Apache Flink, Spark Streaming, RabbitMQ - 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 (𝗡𝗼𝗦𝗤𝗟 & 𝗥𝗗𝗕𝗠𝗦): PostgreSQL, MySQL, MongoDB, Redis, Cassandra, DynamoDB, Pinecone, Qdrant - 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 & 𝗦𝗾𝗹: Python (Pandas, Polars, PySpark, SQLAchemy), SQL (Advanced Dialects), Scala, Bash, Go - 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 & 𝗗𝗲𝘃𝗢𝗽𝘀: Terraform, Docker, Kubernetes, AWS (S3, EC2, ECS, Lambda), GCP, Azure, GitHub Actions, CI/CD - 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 & 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Great Expectations, Soda, Monte Carlo, OpenLineage, Datahub ⚡ 𝗛𝗼𝘄 𝗜 𝗪𝗼𝗿𝗸: I am hired to design production-grade data pipelines, modernize legacy data stacks, fix slow analytics queries, and bring software engineering best practices (Git, CI/CD, unit testing, modular code) into data infrastructure. I prioritize clean lineage, cost efficiency, ironclad data security, and zero-downtime migrations. ⚡ 𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲: ✔️ Pipelines built to scale ✔️ Massive cloud bill reduction ✔️ Production-grade reliability ✔️ Software engineering rigor ✔️ Clear communication 👉 𝗖𝗹𝗶𝗰𝗸 𝗠𝗲𝘀𝘀𝗮𝗴𝗲 - 𝗹𝗲𝘁'𝘀 𝘁𝗮𝗹𝗸.