Tired of unreliable data pipelines or unscalable analytics infrastructure? I help teams build cloud-native data platforms that are fast, efficient, and easy to maintain. I'm Colte - a Senior Data Engineer with hands-on expertise across modern data stacks including Python, SQL, dbt, and warehouse platforms like BigQuery, Snowflake, Amazon Redshift, and Databricks. I specialize in designing ETL and ELT workflows that are reliable, well-modeled, and production-ready. 🧰 Tools I work with daily: - Pipeline orchestration with Apache Airflow - Data modeling & transformation using dbt - Warehouse builds on BigQuery, Snowflake, and Databricks - Multi-cloud deployment via GCP, AWS, and Azure 🔧 What I can help you with: - Designing and deploying scalable ETL pipelines - Migrating data to cloud warehouses - Building strong data models for analytics and BI tools - Implementing or optimizing your data warehouse architecture - End-to-end data engineering support for product and analytics teams I don't just move data - I make sure it's clean, well-modeled, and accessible to the right systems and people. Let's build infrastructure that scales with your business.

I help businesses turn AI into measurable results. Whether you're building an AI agent, chatbot, RAG system, intelligent automation, or ML solution, I design, build, and deploy production-ready systems that create real business value. What I Deliver: Automate manual workflows Reduce operational costs Improve decision-making Increase productivity Build scalable AI products Core Expertise Generative AI & AI Agents AI Agents, Multi-Agent Systems, RAG, Enterprise Knowledge Assistants, AI Copilots, Prompt Engineering, LLM Evaluation, Model Monitoring & Deployment Models: GPT-4/5, Claude, Gemini, Llama, Mistral AI Chatbots & Automation Customer Support Automation, Internal Knowledge Assistants, AI-Powered Workflows, CRM & API Integrations Platforms: Botpress, Dialogflow, Vertex AI, Rasa Machine Learning & Data Science Predictive Analytics, Forecasting, Recommendation Systems, Statistical Analysis, Customer Analytics, End-to-End ML Pipelines Data Engineering & Cloud ETL/ELT Pipelines, Data Warehouses & Lakehouses, Data Quality & Governance, Cloud Data Architecture, Workflow Orchestration Platforms: Snowflake, BigQuery, Databricks, Redshift Business Intelligence Power BI, Tableau, Looker Studio, Executive Dashboards, KPI Reporting Computer Vision & NLP OCR & Document Intelligence, Image Classification, Object Detection, Sentiment Analysis, Text Mining, Custom NLP Pipelines Tech Stack AI/LLMs: OpenAI, Claude, Gemini, Llama, Mistral, LangChain, LangGraph, Hugging Face, TensorFlow, PyTorch Programming: Python, SQL, Spark Cloud: AWS, Google Cloud, Microsoft Azure Data Platforms: Snowflake, BigQuery, Databricks, Redshift, dbt Why Work With Me? ✓ Production-ready AI solutions—not prototypes ✓ Strong expertise across AI, ML, and Data Engineering ✓ Business-focused approach with measurable ROI ✓ Clear communication and on-time delivery ✓ Experience with startups and enterprise teams Availability: 6:00 AM – 11:00 PM Pacific Time | Bilingual: English & Spanish Let's build AI solutions that save time, reduce costs, and help your business grow. Send me a message to discuss your project.

I am a Lead Data Scientist and Data Engineer with over 10 years of experience turning messy, complex datasets into scalable, high-accuracy predictive systems and automated data pipelines. I specialize in the Retail/FMCG and Healthcare/Pharmaceutical sectors, bridging the gap between advanced technical architecture and actionable business strategy. Backed by an Executive PG in Data Science & AI from IIT Roorkee and holding Microsoft Certifications in Python and Azure (AZ-900 & DP-100), I build the "intelligence layers" that drive enterprise decision-making. My Core Technical Expertise: Data Engineering & ETL: GCP (BigQuery), SQL, dbt, Parquet, Batch Processing, Multiprocessing Programming & AI/ML: Python (Pandas, Scikit-learn, Regex, Flask, Streamlit), R, SAS, Predictive Modeling, GenAI Business Intelligence & Viz: Power BI, Looker, Clinical Dashboards Proven Domain Impact: Retail & FMCG: Engineered automated POS data pipelines (36-month initiative), improving loading efficiency by 30%. Led a 24-month product harmonization project using predictive modeling to resolve discrepancies across millions of records. Designed GCP/BigQuery demand forecasting pipelines to optimize supply chain inventory. Healthcare & Clinical Analytics: Deep experience integrating open-source tools (Python, R, SAS) for clinical trial data visualization. Proficient in building interactive clinical dashboards utilizing Pharmaverse, SDTM, and ADaM datasets. Cloud Architecture & Metrics: Migrated massive datasets to modern cloud environments and developed robust DAU/MAU tracking structures inside BigQuery and Looker. Why Work With Me? I do not just execute code; I solve business problems. Alongside my technical career, I manage my own coworking space business, meaning I inherently understand the commercial urgency, stakeholder management, and extreme ownership required to deliver ROI. Whether you need to deploy an AI model, untangle enterprise ERP data, or build an interactive dashboard from scratch, I write clean, maintainable, and production-ready code. Let’s connect to discuss how we can scale your data infrastructure and build models that actually impact your bottom line.

Software developer specializing in the field of Big Data and Analytics. Experienced in the design and development of Data Warehouse and Data Lake architectures. My goal is to build cost-effective and reliable systems where client data is organized so it is usable, intuitive, and provides valuable insights to the business. Over the years I have been in contact with the most relevant platforms and software tools in the field. But more importantly, regardless of technology, I have gained knowledge of the principles and techniques of dimensional modeling which is the basis of moving towards data-oriented decision-making.

I am an experienced Data Engineer with 5 years of hands-on experience in ETL, Data Engineering, Data Modeling, Data Integration, and Data Warehousing. My work mainly emphasizes reliability, efficiency, challenge, and simplicity. If you are looking for someone with a broad skill set who can work as a team member and take on the responsibilities of the tasks. I have experience and knowledge in the following areas, tools, and technologies: ►Data Storage: S3, Azure Storage, Google Cloud Storage ► Data Warehouse: Google BigQuery, Snowflake, Azure Synapse Analytics ► DATABASES: SQL Server, MySQL, PostgreSQL, MongoDB, Oracle, Google Cloud Big Table ►Data Lake: Azure Data Lake Storage, AWS Lake Formation ► Data Transformation, Data Integration, Data Governance, Data Quality: Azure Data Factory, Azure Synapse, Amazon Glue, Fivetran, DBT ► Monitoring Tools: Amazon Cloudwatch, New Relic, Dynatrace, Datadog ► BI, Visualization, Data Analyst: Power BI, Metabase, Sigma BI ► OTHER SKILLS & TOOLS: SQL, Python, Rest API ► I can also work on different technologies and tools if required

🚀 Senior AI Developer specializing in Python, LangChain, LLMs, RAG, AI Agents, SaaS applications, AWS, and API integrations. Are you looking for AI Developer, LLM Engineer, LangChain Developer, RAG Developer, AI Agent Developer, Python Developer, AWS, SaaS, OpenAI API, and Machine Learning Engineer ? I help startups and businesses build production-ready AI solutions using OpenAI, Anthropic, Gemini, LangChain, vector databases, RAG pipelines, and intelligent automation workflows. From custom chatbots and AI agents to scalable SaaS platforms and cloud deployments on AWS, I deliver reliable, high-performance solutions focused on business outcomes. ✅ Python Development ✅ Machine Learning Development ✅ LangChain & LLM Applications ✅ RAG & Vector Databases (Pinecone, FAISS, Chroma) ✅ AI Agents & Workflow Automation ✅ AWS Cloud Deployment ✅ REST APIs & Third-Party Integrations ✅ SaaS Product Development ✅ AI Application Development ✅ AI Chatbot Development ✅ Data Analytics & Dashboard Development Building AI-powered SaaS applications, custom chatbots, RAG systems, AI agents, LLM integrations, cloud-native applications, and scalable backend solutions. 🛠 Skills and Expertise: As a versatile professional, I offer expertise in various domains: AI Development & Automation • Design and develop AI-powered applications using Python, Large Language Models (LLMs), and modern AI frameworks. • Build intelligent AI Agents, multi-agent systems, and workflow automation solutions to streamline business processes. • Develop Retrieval-Augmented Generation (RAG) systems using vector databases such as Pinecone, ChromaDB, Weaviate, and FAISS. • Integrate OpenAI, Claude, Gemini, Hugging Face, and other AI models into custom applications and enterprise workflows. • Create AI chatbots, virtual assistants, document processing systems, knowledge bases, and customer support solutions. • Build scalable AI SaaS products with secure APIs, cloud infrastructure, and production-ready architectures. • Implement LangChain, LangGraph, CrewAI, AutoGen, and agent orchestration frameworks for advanced AI workflows. • Design prompt engineering strategies, evaluation pipelines, and AI optimization workflows to improve model performance and reliability. Software Engineering & Technical Guidance • Develop robust backend systems, REST APIs, web applications, and automation tools using Python, FastAPI, Django, Flask, JavaScript, and SQL. • Review, debug, and optimize code for maintainability, performance, scalability, and security. • Design software architectures, microservices, and distributed systems following industry best practices. AI, Machine Learning & Data Science • Build NLP applications, recommendation systems, predictive analytics solutions, and custom machine learning models. • Fine-tune, evaluate, and deploy machine learning and LLM-based applications for real-world use cases. • Perform data cleaning, feature engineering, model evaluation, and experimentation to maximize business value. Cloud, DevOps & Infrastructure • Deploy and manage AI applications on AWS, Azure, and GCP. • Build CI/CD pipelines, Docker containers, Kubernetes deployments, and scalable cloud-native architectures. • Implement Infrastructure as Code (Terraform, Ansible) and monitoring solutions using Prometheus, Grafana, ELK Stack, and cloud-native services. Data Engineering & Databases • Design and optimize SQL, NoSQL, vector, and graph databases for high-performance applications. • Build ETL/ELT pipelines using Apache Airflow, DBT, Apache Spark, and modern data engineering tools. • Design scalable data warehouses and analytics platforms using Snowflake, BigQuery, Redshift, and other cloud data solutions. I help startups, SaaS companies, and enterprises transform ideas into production-ready AI products that deliver measurable business impact. 🚀 My Commitment: I am committed to crafting customized solutions, from user-friendly websites to powerful apps and innovative AI applications. Your satisfaction is my top priority, and I aim to exceed your expectations. If you have any questions or wish to explore how we can collaborate, please feel free to reach out. Thank you for considering my expertise. Best regards, Rimjhim

Enterprise Data & Power BI. I help you get the data you need for critical business decisions. The Problem I Solve You need clear dashboards to drive real business decisions. I build the reliable infrastructure to support them. You get data pipelines that run smoothly overnight and warehouses that process 50 million records without breaking. Ultimately, I deliver a single source of truth that executives actually trust. The Impact • High-Stakes Analytics: Developed the core data product that closed $1.5M+ in enterprise deals. • Global Brands: Engineered Power BI solutions for Diageo, Heineken, and Suntory. • Scale & Reliability: Built Snowflake warehouses to handle millions of rows. This ends the debate over which numbers are accurate. • Seamless Transitions: Migrated legacy data securely. We replaced weeks of manual reporting with automated dashboards. Who I Work With I partner with Fortune 500 and mid-market firms. My main sectors are alcoholic beverages, financial services, and technology. Many client relationships span years. (If you operate in a different sector, please reach out. I adapt to new data environments quickly.) How We Work I use a structured, three-phase approach to turn your raw data into a reliable asset: Phase 1: Alignment & Assessment • Objectives: We define your exact goals and the business questions you must answer. • Evaluation: I assess your current data architecture, sources, and overall quality. • Tool Selection: I recommend the best visual tools for your needs and budget. Phase 2: Architecture & Design • Preparation: I structure your raw data to build a strong foundation. • Design: I create visual mock-ups. We align on the layout before development begins. • Integration: I connect your data directly to your BI tools for automatic updates. Phase 3: Deployment & Handoff • Deployment: I integrate the final dashboards into your existing systems. • Optimization: I monitor the data flow to find and fix any performance bottlenecks. • Documentation: I provide thorough guides. Your team will own the system long after the project ends. Client Feedback "Don’t just task him with a narrowly defined project... share your high-level goals and vision. I promise he’ll surprise you with something far better than you imagined. I’m only writing this review because I can’t bring him on full-time." "When our Snowflake Data Engineer departed unexpectedly, Danil jumped in—quickly stabilizing our pipelines and laying the groundwork for a long-term solution." "I struggled with this project for several weeks. There was a clear 'Aha!' moment when I saw the first draft and knew I had made the right decision." "Played a crucial role in our large-scale Power BI rollout and maintained the workspace for almost a year. Excellent documentation." Next Steps I build infrastructure that lasts. I do not build temporary patches. Send me your project details. I will review your setup and offer a straightforward assessment of how I can help.

☑️ 𝗤𝘂𝗮𝗹𝗶𝘁𝘆-𝗳𝗼𝗰𝘂𝘀𝗲𝗱 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 ☁️ 𝗰𝗹𝗼𝘂𝗱 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 & 𝗰𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴 🔒 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗱𝗼𝗻𝗲 𝗿𝗶𝗴𝗵𝘁 𝘁𝗵𝗲 𝗳𝗶𝗿𝘀𝘁 𝘁𝗶𝗺𝗲. 🎯 10+ 𝘆𝗲𝗮𝗿𝘀 𝗼𝗳 𝗽𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲, 80K 𝗨𝗦𝗗+ 𝗶𝗻 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 𝗮𝗻𝗱 𝗺𝗮𝗻𝗮𝗴𝗲𝗱. 𝗘𝘅𝘁𝗲𝗻𝘀𝗶𝘃𝗲 𝗙𝗼𝗿𝘁𝘂𝗻𝗲 𝟱𝟬𝟬 𝗰𝗼𝗺𝗽𝗮𝗻𝘆 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲. ☑️ 📞 Invite me to your job, and we can book a complimentary 30-minute consultation together that’s earnestly helpful. 📞 Microsoft Fabric | MS Fabric | Azure Function | Azure Synapse | Azure Data Factory | Azure Key Vault | Azure APIM | Azure Analysis Services | Azure SQL Database | Azure Open API Azure Sentiment Analysis | Azure Large Language model | Azure Logic Apps | Azure Active Directory (Entra) | Azure data lake storage | Azure Blob Storage | Azure Cost Optimization | Cost Analyst Power BI | Mquery| DAX | Dax Studio | Tabular Editor | Perfomance Analyser | SQL Profiler You have the option to hire someone cheaper who will take 5 times longer to complete the job correctly. Alternatively, you can hire me, an expert, to efficiently deliver the perfect solution while you relax. Consider me your cloud solution, Advil – I consistently alleviate headaches rather than create them. ✅ What I do -: Take your raw data, process it, and present it in a meaningful and reproducible way, while keeping you aware of what's happening (in plain language, if you're a non-tech person) and working together with your team (if you already have a tech structure) on every step of the process - from data extraction to final presentation. -: I enjoy solving complex data issues with my skill set. My passion is data readiness and making data "work" for my clients. -: Performance Tuning: Performance tuning is what I love to do. I have worked on a few tables that had 1 billion records. I am an expert in table partitioning, including indexing and other related topics. ✅ Offering the services: -: Data analytics -: Full-stack Power BI solution development -: PowerQuery and M language programming -: Dashboard design and implementation -: Data Extraction -: Database Architect -: END-TO-END BI Solution Design -: Performance Tuning -: Table Partitioning -: Automation of almost everything in Bi Solution. ✅ Programming Languages -: Python, C#, Java, Google App Script, PowerShell, Batch Scripting, DAX, MDX ✅ Databases: -: Microsoft SQL Server (2008 to 2019) (Microsoft certified) -: Azure SQL Server -: Azure Data Warehouse -: Cosmos DB -: MySQL -: PostgreSQL -: Oracle -: MongoDB ✅ ETL -: SSIS (SQL Server Integration Services) -: ADF (Azure Data Factory) -: ADB (Azure DataBricks) -: AirByte -: AirFlow -: Domo -: Alteryx -: Tableau Prep Builder ✅ Reporting -: Microsoft Power BI -: Google Data Studio -: DevExpress -: DOMO -: Metabase ✅ Analytics -: SSAS (Multidimensional and tabular cube) -: Azure Data Bricks -: Azure Analysis Services -: DBT ✅ API Data Pull Implementation -: Shopify -: Magento -: NetSuite -: PeopleVox -: SmartLPA -: Tempo/Jira -: GitLab/GitHub ✅ Solutions for business: -: Real Estate -: Bar & Restaurants -: Manufacturing -: Human Resources -: Healthcare -: Marketing -: Project management -: Sales -: Finance -: Media and Advertisement

I design and implement scalable systems across operations, data, and automation to eliminate manual work and improve reliability across business processes. Most growing teams face the same core issues: fragmented tools, inconsistent data, and workflows that break under scale. I solve this by building structured systems where processes, data, and automation are properly connected, standardized, and governed. ⚙️ Operations & Workflow Systems I design operational systems with clear logic, ownership, and execution layers using tools like Notion, ClickUp. This includes: Process standardization and SOP design Workflow architecture (states, triggers, dependencies) Task and project management systems Cross-team coordination frameworks Bottleneck identification and performance optimization The goal is to create predictable, scalable operations where teams execute efficiently without constant manual oversight. 🔄 Automation, API Layer & System Integration I build automation systems that connect tools and execute business logic end-to-end using platforms like n8n, Zapier, Make (Integromat), and custom API integrations. This includes: API integrations and API-layer implementations (centralized abstraction layer) Webhook-based and event-driven architectures Multi-system data synchronization Scheduled workflows, batching, and orchestration Error handling, retries, logging, and monitoring Idempotent workflows and safe update logic I’ve implemented API-layer architectures that unify systems like CRMs, databases, and front-end tools into a single, structured interface making systems easier to scale, maintain, and extend. 🧠 Data Engineering & Data Flow Design I design and manage data pipelines to ensure clean, structured, and reliable data using tools like SQL, BigQuery, Snowflake, Excel (advanced), Google Sheets, and Power BI. This includes: Data modeling and schema design ETL / ELT pipeline development Data cleaning, normalization, and enrichment Building reporting-ready datasets Data consistency across distributed systems Dashboarding and analytics (Power BI, Looker Studio) The focus is on making data usable, accurate, and decision-ready. 📊 CRM & Lifecycle Systems I build and optimize CRM systems using platforms like GoHighLevel (GHL), HubSpot, Salesforce, and Zoho CRM. This includes: Pipeline and lifecycle architecture Lead capture, routing, and qualification logic Automated follow-ups, sequences, and notifications Task and activity automation Data validation, deduplication, and hygiene CRM integration with automation and reporting systems The result is a fully automated customer lifecycle system from lead to conversion and retention. 🤖 AI in Automation Systems I integrate AI into workflows where it provides real operational value using tools like OpenAI APIs, GPT-based systems, and AI integrations enter automation platforms. Typical implementations: Data enrichment and structuring Classification, tagging, and filtering LLM-based extraction and formatting Intelligent decision-support inside workflows AI is implemented as part of systems not as a gimmick to reduce manual work and improve accuracy at scale. ⚙️ Approach Analyze current systems, workflows, and data flow Identify inefficiencies, edge cases, and failure points Design system architecture and automation logic Build, test, and deploy with reliability in mind Deliver documentation and ensure long-term maintainability I focus on building systems that are technically sound, operationally practical, and scalable. If you need someone who understands APIs, data pipelines, automation systems, CRMs, and operations and can bring them together into one reliable system, I can help.

I build BI systems that run themselves: automated data pipelines (Python, SQL) feeding Tableau and Power BI dashboards your team actually uses. Most freelancers build you a dashboard. The problem is everything behind it; the manual exports, the copy-paste refreshes, the "numbers don't match" emails. I fix the whole chain: data source → automated pipeline → clean data model → dashboard that refreshes itself. Recent results: - Built a nationwide railway network's complete analytics platform: multi-source ingestion, PostgreSQL/BigQuery data warehouse, automated ETL, Power BI executive dashboards - Delivered a $1,700 Azure Cognitive Services voice-to-BI proof of concept (speech → SQL → live dashboard) - 35+ Tableau and Power BI dashboards across healthcare, telecom, manufacturing, retail, finance, and SaaS - Automated AI invoice processing that eliminated 100% of manual data entry for a distribution client - Replaced weekly manual Excel reporting with Python/SQL automation — hours saved every week, zero human error What you get working with me: - A data model designed before any chart is drawn; so the dashboard stays fast and correct as data grows - Automated refresh (no more monthly spreadsheet exports) - Documentation + a recorded walkthrough so your team can run it without me Stack: Tableau, Power BI, SQL (PostgreSQL, BigQuery, SQL Server), Python, dbt, Airflow, Excel/Power Query, DAX, Google Sheets, Azure, Google Cloud, n8n/Make for workflow automation, REST APIs. Top Rated · 100% Job Success · 40+ jobs completed. Typical engagements start with a dashboard or an automated reporting pipeline and grow into a long-term BI partnership. Message me with your data sources and what you want to track; I'll reply with a concrete first step.