Hey there! 👋 I'm a Data Engineer with about 6 years of hands-on experience. I specialize in Python, building scalable ETL pipelines using big data tools and efficiently process data that scales quick . Familiar with different types of RDBMS, Warehouses, Lakes and Lake houses architectures. Besides dealing with the technical stacks I have also been heavily involved in analytical engineering on how to best automate the generation of KPIs with smooth workflows I have worked in different domains such as Banking, Marketing , Telecom and Ad-Tech as either being employed or freelancing. I've also worked with LLMs (including RAG pipelines), and have the experience developing Machine Learning models. I have the desire for turning raw data into real, actionable insights ! Here's a snapshot of what I bring to the table: ✅ Languages: Python, SQL, Java, SSJS ✅ AWS Cloud: S3, AWS EMR, EC2, Lambda ✅ Data Warehouse & Lakehouse Architectures: Oracle, Snowflake, Iceberg ✅ Databases: PostgreSQL, Microsoft SQL Server, Oracle, Apache Hive, HBase ✅ Data Processing: Real-Time & Batch ✅ Big Data & ETL Stacks: Apache Airflow, Apache Kafka, Spark (Scala/Python), dbt, Apache NiFi, SSIS ✅ Containers: Docker, Kubernetes ✅ CRM Tools: Salesforce Marketing Cloud ✅ Machine Learning Algorithms: Logistic Regression, Classification, Computer Vision, NLP, Time Series Forecasting, Hyperparameter Tuning, Deep Learning ✅ ML Frameworks & Libraries: TensorFlow, Keras ✅ Tools: VS Code, GitHub, Jupyter Notebook

Need to automate your business workflows, Build a startup, and build AI-driven systems that save hours every week? I create powerful automation solutions using n8n, Make, Zapier, Python, Supabase, and custom API integrations, giving you smart, scalable, hands-off operations. As an AI Workflow Automation Expert, I specialize in building intelligent agents, CRM automations, Supabase-powered backends, and autonomous systems that help businesses operate faster with fewer errors. 🔹 Core Skills ➤ AI Automation & Intelligent Agents (LLMs, RAG, memory, tool-based agents) ➤ Workflow Automation using n8n, Make.com, Zapier, GoHighLevel ➤ CRM Automations (HubSpot, GHL, Pipedrive, Zoho, Airtable, Notion) ➤ Startups (Via Full-Stack coding or Lovable, Boult ) ➤ Python Automation (APIs, bots, scripts, web scraping, data extraction) ➤ Postgress/Supabase Development (auth, database, edge functions, automation) ➤ API Integration & Custom Webhooks ➤ Product Integrations (Stripe, Boult, WATI, WhatsApp Cloud API) ➤ Cloud Deployments (AWS Lambda, EC2, S3) ➤ AI Chatbots & Support Agents (GPT-4o, Claude, custom-trained bots) 🔹 Key Achievements ➤ Built AI and automation systems that reduced manual workload by 20–40 hours/week for clients. ➤ Developed an AI chatbot integrated with user-generated fight analysis reports for a BJJ training platform. ➤ Automated promo code creation and Stripe workflows using n8n + Python, reducing operational effort by 90%. ➤ Built multi-step CRM automations (lead tagging, pipeline routing, follow-ups) in GHL, HubSpot, and Zapier. ➤ Created custom scraping + PDF-report pipelines for fight video analysis using Python. ➤ Developed an AI sales agent using WATI, ChatGPT, and Supabase to qualify leads, collect applicant details, and automate WhatsApp follow-ups for Clipmasters Academy. ➤ Integrated automation workflows for wearable brand Boult, improving data flow, tagging, and notifications. 🔹 How I Support Startups & Businesses ➤ Build fully autonomous AI agents for sales, support, onboarding, and operations ➤ Create CRM workflows across multiple platforms (lead scoring, tagging, notifications) ➤ Automate subscriptions, payments, and billing (Stripe, Boult API, PayPal) ➤ Build Supabase-driven backends for apps, portals, and automated processes ➤ Integrate APIs between systems for seamless data flow ➤ Develop custom Python bots and backend automations ➤ Build AI chatbots trained on your documents, SOPs, and business data 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 & 𝗧𝗼𝗼𝗹𝘀 𝗜 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 𝗠𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗪𝗶𝘁𝗵 🛠 Automation Tools — Make.com, Zapier, n8n, Lovable 🛠 Artificial Intelligence — ChatGPT, Google Gemini, Custom LLM Agents 🛠 Spreadsheets & Databases — Google Sheets, Airtable, Excel, Supabase 🛠 eCommerce Platforms — Shopify, WooCommerce, Amazon Seller Central, eBay 🛠 Project Management — Monday.com, Asana, Trello, ClickUp, Notion 🛠 Google Workspace — Google Docs, Google Forms, Google Cloud 🛠 Microsoft Ecosystem — Excel, Outlook, Power Automate, Azure 🛠 CRM Systems — HubSpot, Salesforce, Pipedrive, Zoho, GoHighLevel 🛠 ERP & Enterprise Tools — Oracle NetSuite, ADP 🛠 Customer Support Platforms — Zendesk, Intercom, Freshdesk 🛠 Messaging Apps — Slack, WhatsApp, SMS, Email, WATI 🛠 Development & Collaboration — Jira, Linear, GitHub 🛠 Email Marketing — Mailchimp, Klaviyo, ActiveCampaign, Mailgun 🛠 CMS Platforms — WordPress, Webflow, Squarespace 🛠 Forms & Document Platforms — DocuSign, Typeform, JotForm, PandaDoc, SurveyMonkey 🛠 Custom API Development & Integrations — REST, Webhooks, JSON, Third-Party APIs 🔹 Why Choose Me? ➤ Automation-First Approach: Systems designed to run reliably without human involvement ➤ AI-Driven Expertise: Modern LLMs used for reasoning, analysis, and decision automation ➤ Technical Depth: Strong background in Python, Supabase, CRMs, and automation tools ➤ Business Value: Focused on saving time, reducing errors, and boosting efficiency ➤ Clear Communication: Simple explanations, proactive updates, and smooth collaboration ✅ Let’s convert your manual, time-consuming processes into smart, AI-powered automation that scales your business effortlessly.

Most data pipelines don’t fail because of code. They fail because they weren't built for scale. With 8+ years of experience engineering data systems at companies like Microsoft and Coreweave, I help businesses move away from "brittle prototypes" to production-grade, scalable infrastructure. I don’t just move data; I build the "Source of Truth" that leadership and AI systems actually trust. 💬What I Solve for You: Productionizing AI Pipelines: Hardening Python prototypes into scalable RAG and LLM infrastructures (AWS/Azure). ➔Infrastructure-as-Code: Building automated, modular ETL/ELT pipelines that don't require daily manual fixes. ➔The "One-Source" Dashboard: Integrating messy data from APIs, SaaS (Shopify, HubSpot), and DBs into clean Snowflake/BigQuery layers. ➔Performance Recovery: Optimizing slow SQL queries and high-cost cloud warehouses to save you thousands in monthly spend. 🛠 Tech Stack: Languages: Python (FastAPI, Pandas, PySpark), SQL Cloud & Warehousing: AWS (Glue, Lambda, S3), Snowflake, BigQuery, Azure Orchestration: Airflow, dbt, GitHub Actions Data Ops: API Integrations, Vector DBs, Data Validation ✅ Why Me? 8+ Years Experience: I’ve seen what breaks at the enterprise level and how to prevent it in your startup. Speed over Perfection: I focus on shipping high-impact systems that drive revenue, not just technical documentation. Transparent Communication: You get regular updates and a partner who challenges requirements to find better solutions. Ready to clean up your data debt? 📩 Message me for a FREE 15-minute technical consultation. Let’s discuss your architecture and see if I’m the right fit for your system.

Who Am I? I’m a Senior Data Engineer with 7+ years of experience designing and deploying scalable data platforms, customer data platforms, real-time pipelines, and AI-ready analytics solutions. I've worked with global enterprises like WizzAir, Cisco, and Grainger My focus is on building robust, fault-tolerant data systems - from ETL/ELT frameworks to real-time stream processing and fully automated cloud-native infrastructures. Services I Offer - Full-cycle ETL/ELT pipeline development (batch & streaming) - Complex AI multi-agent systems - RAGs - Cloud migration from CRMs, blob storage or legacy infrastructure to AWS, Azure, or GCP - Real-time data architecture design (Kafka, Spark, Event Hub) - AI-ready platforms: from feature engineering to ML-triggered alerting - Interactive dashboarding, visualizations and modeling Key Project Highlights - Hadoop to AWS migration for a Fortune 500 company:: S3, EMR, Airflow, API integrations, and Terraform-based IaC - Real-time KPI platform for US telecom: Spark Structured Streaming, Kafka, Kubernetes, sub-second latency - AI-driven analytics platform (Danish retailer): medallion architecture, custom ETL builder, personalized offers, Power BI dashboard - CRM migration (Crio → Medidata): automated data transfer, schema validation, error alerts - Google Ads optimisation system: 11% cost reduction, 7% traffic increase, with GA & custom attribution modeling - WizzAir data platform POC: DBT in Azure containerized architecture, orchestrated via Data Factory, with Great Expectations for quality control Let’s Talk If you're looking for a senior data engineer who brings production-level thinking, scalable systems, and deep cloud expertise - let's chat. I can help turn your data infrastructure into a reliable growth engine. Reviews: ⭐⭐⭐⭐⭐ - Nima Sotoadeh, CEO of Broya Nick has been an incredible asset to us at Broya. His data engineering expertise is not only profound but also practically applied to real-world problems. His work has significantly contributed to the success of our projects and data pipeline creations. He is a true professional and a pleasure to work with. ⭐⭐⭐⭐⭐ - Ruslan Kravets, CEO of Medikit Working with Nick has transformed our approach to data management at Medikit. His contributions were crucial in developing an efficient and automated data management system, complemented by real-time dashboarding, which has streamlined our operations and decision-making processes. Beyond his technical expertise, Nick's commitment to excellence has played a key role in enhancing our data handling capabilities and overall operational efficiency.

I help businesses transform raw, unstructured data into reliable, actionable insights by building scalable, automated, and optimized data solutions. With expertise in Python, SQL, and ETL workflows, I specialize in: ETL/ELT Pipeline Development – Designing and optimizing efficient pipelines using tools such as Airflow, AWS Glue, and Spark. Data Analysis & Reporting – Delivering clean, structured datasets ready for BI dashboards like Power BI or Tableau. Database Management – Writing complex SQL queries, improving performance, and handling large-scale datasets. Data Cleaning & Transformation – Removing duplicates, resolving inconsistencies, and ensuring high-quality datasets. Cloud Data Engineering – Developing modern data solutions on AWS, GCP, or Azure. Why work with me: Strong problem-solving approach focused on accuracy, efficiency, and scalability. Proven experience adapting data workflows across multiple industries. Commitment to delivering results that save time, reduce costs, and support better decision-making. Whether you need a one-time data cleaning task, a complete end-to-end ETL pipeline, or ongoing data engineering support, I can help streamline your data workflows and unlock valuable insights. Let’s connect to discuss how I can contribute to your project.

Data Engineer specializing in ETL/ELT pipelines, Snowflake, BigQuery, dbt, Apache Airflow, SQL, and Python. Over the past 4+ years, I've helped companies build reliable data platforms, automate reporting workflows, and create scalable cloud data warehouses that support analytics and business decision-making. Whether you're starting from spreadsheets and disconnected systems or scaling an existing data stack, I can help design and implement solutions that are reliable, maintainable, and built for growth. My expertise includes: ✓ ETL/ELT Pipeline Development ✓ Snowflake & BigQuery Data Warehousing ✓ Apache Airflow Workflow Orchestration ✓ dbt Data Transformation & Modeling ✓ SQL & Python Data Engineering ✓ Data Integration & Automation ✓ Analytics Engineering & Reporting Infrastructure ✓ Performance Optimization & Query Tuning Recent project examples include: • Building automated ETL pipelines that integrated data from multiple business systems into a centralized warehouse. • Designing Snowflake and BigQuery architectures for analytics teams requiring fast and reliable reporting. • Implementing Airflow and dbt workflows to automate data transformations and improve data quality. • Creating reporting infrastructure that reduced manual reporting effort and improved data visibility across teams. I focus on delivering solutions that are easy to maintain, well-documented, and aligned with business goals, not just technical requirements. If you're looking for a Data Engineer who can build reliable pipelines, modern data warehouses, and scalable analytics infrastructure, I'd be happy to discuss your project.

Data Engineer specializing in Analytics Engineering and cloud data pipelines. I design and build end-to-end pipelines — from raw ingestion to BI-ready data models — across the modern data stack. My recent projects span three major cloud platforms: Snowflake, Google BigQuery, and Azure/Databricks, using tools like dbt, Spark, Delta Lake, and GitHub Actions. I follow best practices including Medallion Architecture, dimensional modeling (Star Schema), incremental processing, data quality testing, and CI/CD automation. Whether you need a clean data warehouse, a reliable ETL pipeline, or automated reporting infrastructure, I deliver production-quality work with proper documentation and testing.

I am one of the Top Rated Data Engineer specialists on Upwork. My sophisticated hand-crafted Dataware house/Report/Dashboard design will save your organization significant time, money, and performance. My area of expertise, ✅ Data Modeling (Relational & Dimensional) ✅ Database & DWH Architecture, Design & Development ✅ ETL Architecture, Design & Development (SSIS) ✅ Multidimensional cube Architecture, Design & Development (SSAS) ✅ Printed Report using SQL Server Reporting Services (SSRS) ✅ Power Platform (Power Pivot, Power BI, Power Apps, Power Automate) ✅ MS Azure (SQL DB, Data Factory, Data Lake) I am a serious professional with over 12+ years of experience as a programmer and database specialist. My emphasis has been on creating elegant Normalized/De Normalized database design integrated with user-friendly front-end software (desktop and web applications). I specialize in Business Intelligence and Analytics. It means I have an expert level in creating custom reports from Sales, Purchasing, Inventory, Banking to Financial using any BI Tool and with any Data Sources supported by (Power BI, SSRS, Tableau, Crystal Reports) I also create reports for other External ERP system like(Sage, Misys, Ramco ERP, SalesForce, Quick Book) In my case, I fully understand 100% any database structure(tables and fields) and other technical aspects such as UDT and UDF, validation triggers, simple to complex stored procedures, views, and T-SQL and ETL(SSIS) A detailed-oriented person who loves what I do, can deliver, a fast worker, and able to multitask awaits your invite. INVITE ME TO YOUR JOB!!! less than 5 hrs response time Do Read my Feedback Rite Below.

I am a Snowflake Certified Data Engineer with 7+ years of experience in ETL, BI, and DWH. Currently working as Lead on multiple projects. Having excellent analytical & design skills, a focused approach, a professional attitude to work, and working at the Pacific Standard Time will make me the perfect candidate that you are looking for! PROFILE:- • Proficient in building data pipelines with Python, Snowflake, and Airflow • Hand-on experience on DBT, Pentaho Data Integration, IBM Data Stage, Informatica • Exposure to large data volumes in major database systems like Postgres, Redshift • Deep knowledge of SQL, and Reporting experience in Tableau, Sigma Computing, Power BI • Experience in DWH with substantial knowledge of Finance, Home Services, and Retail domains • Experience in working in Agile Environments like JIRA, Trello • Working knowledge of complete Data warehouse development life cycle SKILL SUMMARY:- Databases • Snowflake - Snowflake Essentials Certified • SnowPro Core • Native Apps • Streamlit • PostgreSQL :- 9.3, 9.5 • Oracle • Vertica • Amazon Redshift • Microsoft SQL Server • MySQL Data Integration Tools & Technologies • DBT • Python :- 2.7, 3.6, 3.8 • FiveTran • Upsolver • Pentaho Data Integration :- 5.0, 5.1, 5.2, 6.0, 6.1, 7.1 • IBM Data Stage • Precog BI/Reporting • Sigma • Tableau • IBM Cognos • Looker • Pentaho Reports Looking forward to working with you!

Professional Summary Data Engineer with 1+ year of experience building ELT/ETL pipelines, cloud data warehouses, and KPI dashboards using Python, SQL, dbt, BigQuery, and AWS. Proven ability to automate data ingestion, transform large datasets, and enable data-driven decision-making.