As a seasoned data engineer, I have an impressive track record of delivering impactful solutions that drive data-driven decision-making. With expertise in architecting data warehouses, I have successfully designed and implemented robust systems from source system to modeling and BI layers. I have a keen eye for developing executive-level dashboards, enabling the presentation of key performance indicators (KPIs) to stakeholders for informed decision-making. My collaborative nature shines through as I work closely with cross-functional teams to gather requirements and transform them into technical solutions. I have led initiatives, such as sessionizing website event data for revenue attribution, showcasing my ability to drive innovative projects with tangible business outcomes. Mentoring junior developers is a passion of mine, and I take pride in providing guidance and expertise in code reviews, project direction, and meeting preparation, resulting in enhanced collaboration and improved code quality. Utilizing cutting-edge tools like dbt, Python (Airflow or Dagster), and Snowflake, I have developed and modeled data into consumable formats, including staging, base, intermediate, dimension, and fact tables. I have extensive experience with complex SQL queries and have leveraged my knowledge of data modeling methodologies like Data Vault. Additionally, I have successfully migrated on-premise data to the cloud using Microsoft Azure and Databricks, showcasing my ability to leverage advanced technologies for seamless data platform migration. My ability to collaborate closely with stakeholders, including C-level executives, has led to valuable insights and the development of comprehensive Power BI dashboards across various business functions. I have also demonstrated my analytical acumen by developing risk models using Bayes Theorem, enabling proactive risk mitigation and informed decision-making. Leveraging the power of Databricks, I have designed and implemented robust data pipelines, ensuring efficient data transformation and processing. With a strong track record in data engineering and a wide range of technical skills, I am well-equipped to drive data initiatives and deliver impactful solutions in any data engineering role.

Nick is a seasoned analytics and data monetization expert, data architect and data scientist with expertise in cloud-based business intelligence, analytics and data architecture. During his time at a global leader in enterprise data, his team built, launched and scaled the industry’s first connected multi-cloud data platform for enterprise data monetization, adopted by orgs such as Netflix and Coca-Cola, to name a few. Besides supporting large enterprise clients, over the last 15+ years, Nick has successfully built and managed best-in-class data departments within fast-paced startups and high-growth venture-backed companies. He has deep experience as a business & analytics leader embedded within finance, product, marketing, sales, operations, engineering and technology departments. Some of the services I provide for my clients: ° Architect, build and manage a modern data monetization stack to enable use cases like advanced analytics, machine learning and AI ° Modernize and fine-tune your existing data stack, improving cost efficiency and performance ° Business Intelligence (BI) platform implementation to deliver dashboards, reporting, self-service business intelligence and analytics ° Composable Customer Data Platform (CDP) design and implementation ° Data Science experimentation, advanced analytics, artificial intelligence, forecasting, machine learning, predictive modeling ° Company-wide or department-wide long-term data monetization strategy development ° Coaching or advisor for existing data teams ° Project scoping and feasibility analysis ° Resolving data governance, data quality, data accessibility issues Some of the business use cases I have expertise in: OPS · KPI development · performance management · inventory management · warehouse management · customer service management FINANCE · automated financial reporting · automated variance analysis · financials forecasting SALES · sales forecasting · territory management · compensation management MARKETING · composable customer data platform · media mix modeling · advanced marketing attribution PRODUCT · A/B Testing · funnel optimization · churn prediction · plenty more, just ask! Certified technical expertise in a wide range of cloud data & analytics technology: • Programming Languages: SQL, Python, R • Data Warehouse: Snowflake, Redshift, BigQuery • Visualization: Tableau Certified, Looker, Metabase and many others • Data Pipeline: dbt Certified Developer • Orchestration: Airflow, Dagster, Prefect • Data Science: Databricks, Anaconda

Stop struggling with messy, siloed data. Let's build your reliable Single Source of Truth. As an Analytics Engineer specialized in Snowflake + dbt, I design and implement end-to-end modern data solutions that turn raw data into actionable business insights. My process is simple and effective: 1. Assess your current data challenges and design the right architecture 2. Build automated, scalable pipelines using Airflow, dbt & Snowflake 3. Deliver interactive Power BI dashboards with advanced DAX for clear decision-making I help businesses achieve: • 60% faster reporting cycles • Up to $290K monthly revenue recovery • $247K/year potential savings in supply chain • 95%+ data accuracy with automated testing Ready to optimize your data strategy? Let's jump on a quick 15-minute call to explore how we can transform your data into a real competitive advantage. I'm available now — click "Invite to Job" or send me a message.

I help companies turn multiple data sources into valuable insights. With a graduate degree in Intelligent Decision Support Systems, I specialize in data modeling, dashboards, and data integration for industries including marketing, retail, finance, healthcare, and insurance. Throughout my career, I have built BI systems that enable performance measurement, customer analysis, and operational optimization. Proudly using Ralph Kimball’s data warehousing methodology and strong SQL skills, I design tailored dimensional models that make reporting efficient and insightful. My technical toolkit includes Power BI and Qlik Sense for interactive dashboards, Azure SQL and SSIS for robust ETL pipelines, and solid data architecture foundations for scalable solutions. I work closely with stakeholders to translate business goals into data-driven solutions that support strategic decisions and measurable business growth. Key Technical Expertise • BI & Visualization: Power BI, Qlik Sense, Looker, Metabase, Sisense • Data Modeling & ETL: Ralph Kimball Methodology, dbt, Azure Data Factory, SSIS, Alteryx, Fivetran • Databases & Warehousing: Snowflake, Google BigQuery, Azure SQL, AWS Redshift, Oracle, PostgreSQL • Languages: SQL (Expert), Python • Cloud Platforms: Azure, GCP, AWS

I build production Snowflake and dbt pipelines that stay reliable when upstream data changes,cutting manual data-fixing to near zero for retail, gaming, and betting-industry teams. At BetClic Group, I designed and productionized a data platform on AWS (S3, Lambda, Glue) and Snowflake, delivering AI-ready datasets across acquisition, retention, and campaign performance. At Norauto International, I helped structure and strengthen the data ecosystem across retail, supply chain, and finance functions to support generative-AI use cases. What I do: - Snowflake + dbt ELT pipelines (SnowPro Core certified) - AWS data engineering (S3, Lambda, Glue) - Airflow orchestration - Data modeling (star schema,snowflake schema,data vault 2.0) - Early-stage RAG / AI-agent groundwork built on clean data foundations If your pipelines break every time an upstream schema changes, or your BI layer can't be trusted, let's talk.

Analytics Engineer & BI Developer | 10+ years of experience building scalable analytics solutions using Looker, Tableau, SQL, BigQuery, and modern analytics & AI-assisted reporting workflows. ⭐ 100% Job Success Score · 34 Projects · 1,100+ Hours Delivered I help businesses transform complex data into scalable dashboards, automated reporting systems, and modern analytics solutions that support faster and smarter decision-making. I have worked across Retail, SaaS, and enterprise analytics projects involving: ✔ Looker / LookML Development ✔ Tableau Dashboards & BI Reporting ✔ BigQuery & Advanced SQL ✔ Analytics Engineering & Data Modeling ✔ KPI & Executive Reporting ✔ Dashboard Performance Optimization ✔ ETL & Automated Reporting Pipelines ✔ AI-Assisted Analytics & Gen AI Workflows ✔ Dashboard Migrations (Qlik · Tableau · Looker) Tools: Looker · LookML · Tableau · Power BI · Looker Studio · BigQuery · SQL · GCP · Grafana · Excel · Google Sheets Recently built AI-assisted analytics workflows and conversational reporting experiences that allow non-technical teams to explore and query business data without writing a single line of SQL. I build scalable, business-friendly analytics systems - not just dashboards.

Professional Summary Data Engineer with 5+ years of experience designing, developing, and optimizing scalable ETL/ELT pipelines, cloud-based data platforms, and enterprise data warehouses. Proficient in Python, SQL, PySpark, Apache Spark, dbt, Apache Airflow, BigQuery, Snowflake, Databricks, and cloud technologies across AWS, Azure, and Google Cloud Platform (GCP). Experienced in building batch and real-time data pipelines using AWS Glue, Lambda, S3, Redshift, Kinesis, CloudWatch, IAM, EC2, and Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure Synapse Analytics, Azure Functions, Event Hubs, and Azure Monitor. Skilled in data modeling, data integration, orchestration, workflow automation, CI/CD, and implementing Medallion architecture with Delta Lake. Strong expertise in optimizing data performance, ensuring data quality and governance, and delivering scalable analytics solutions that enable data-driven decision-making. Experienced with Git, GitHub, Docker, Kubernetes, Terraform, Jenkins, REST APIs, Kafka, and Agile development practices.

I am a Data Scientist and ML/BI Engineer specialized in building and industrializing data & ML pipelines on Google Cloud. With 5 years of experience across large enterprises (Amazon, Equifax, SFR), scale-ups (Glovo) and multiple freelance projects in Europe, I help companies design robust data architectures, automate analytics workflows and deploy production-grade ML systems. My expertise covers the full lifecycle: • Data engineering on GCP (BigQuery, Cloud Run, Cloud Functions, Vertex AI) • End-to-end ML engineering & MLOps (model migration, training, serving, CI/CD) • BI and analytics solutions (Looker, Power BI, dbt, automated reporting) • API/Data integrations and process automation at scale Today I work through my EURL Damiani Data Consulting, supporting SMEs, scale-ups and grands comptes in modernizing their data stack and delivering actionable, production-ready solutions. 🔊​Call to Action: Feel free to contact me for data-driven solutions to your business challenges. Let's work together to turn your data into actionable insights.

I fix data that teams stopped trusting. If your scraper broke, your reports do not match, or your pipeline fails every time the source changes, that is the work I do. I make the data come in clean, get checked, and stay reliable. I have worked with data for 19 years, mostly in banks, finance, and telecom, where a wrong number has real consequences. One example: a vendor changed a CSV layout with no warning and broke a bank's reports silently, no error, just wrong numbers. I rebuilt that pipeline so it could never fail silently again. On Upwork so far: - Web scraping and data aggregation, 400+ hours, sports results from many sources - Cleaning messy data into AI-ready datasets - Data architecture for business-critical reporting - 4 projects, all with 5-star public reviews What I can do for you: - Build or fix web scrapers (Python, Selenium, Playwright, APIs) - Build or repair ETL and data pipelines - Clean and validate datasets for AI, BI, or analytics - Model and tune SQL - Prepare clean reporting data for Power BI and dashboards I use AI to work faster, but I test and own every line I deliver. Tell me your data source or the workflow that broke, and I will tell you the fastest way to fix it.

🏆 ​​𝗧𝗢𝗣 𝗥𝗔𝗧𝗘𝗗 𝗣𝗟𝗨𝗦 - Among the 𝗧𝗼𝗽 𝟯% 𝗼𝗳 𝗧𝗮𝗹𝗲𝗻𝘁 ⭐ 𝟳𝟱+ 𝗛𝗮𝗽𝗽𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 ⭐ 𝟰,𝟬𝟬𝟬+ 𝗛𝗼𝘂𝗿𝘀 𝗟𝗼𝗴𝗴𝗲𝗱 ⭐ 𝟭𝟬+ 𝗬𝗲𝗮𝗿𝘀 of Experience in Data Engineering, Analytics & AI Automation With over 10+ years of experience, I help startups and enterprises build scalable data platforms, cloud data warehouses, modern analytics stacks, AI-powered automation, and business intelligence solutions. I specialize in transforming raw data into reliable, actionable insights by designing robust ETL/ELT pipelines, implementing cloud-native data architectures, developing executive dashboards, and building AI-driven workflow automations. Whether you're modernizing your data infrastructure, migrating to the cloud, building real-time data pipelines, implementing business intelligence, or integrating Generative AI into your operations, I deliver production-ready solutions that scale with your business. 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Data Engineering, ETL/ELT Pipelines, Data Pipeline Development, Data Integration, Data Migration, Data Transformation, Data Warehousing, Data Lake Architecture, Data Modeling (Star & Snowflake Schema), Data Governance, Data Quality, Data Validation, Workflow Orchestration, Batch Processing, Real-Time Data Processing. 𝗕𝗶𝗴 𝗗𝗮𝘁𝗮 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗲𝘀: Apache Spark, PySpark, Apache Kafka, Apache Flink, Apache Airflow, Hadoop, Hive, Impala, NiFi, Databricks, Delta Lake. 𝗖𝗹𝗼𝘂𝗱 𝗗𝗮𝘁𝗮 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: AWS (Redshift, Glue, Athena, EMR, Lambda, Kinesis, DMS, Aurora, RDS, S3, Step Functions), Microsoft Azure (Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage), Google Cloud Platform (BigQuery, Dataflow, Dataproc, Cloud Storage, Cloud Functions). 𝗘𝗧𝗟 / 𝗘𝗟𝗧 & 𝗗𝗮𝘁𝗮 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: dbt, Fivetran, Airbyte, Talend, Informatica Cloud (IICS), Informatica BDM, SSIS, AWS Glue, Azure Data Factory. 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 & 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲𝘀: Snowflake, Amazon Redshift, Google BigQuery, PostgreSQL, MySQL, Microsoft SQL Server, MongoDB, DynamoDB. 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: Power BI, Tableau, Looker Studio, Amazon QuickSight, Zoho Analytics, Metabase, SQL Analytics, Executive Dashboards, KPI Reporting, Marketing Analytics, Product Analytics, Customer Analytics, Financial Analytics, Data Visualization. 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜: OpenAI API, Claude API, Gemini API, AI Agents, AI Assistants, AI Chatbots, LangChain, LangGraph, Retrieval-Augmented Generation (RAG), Vector Databases, Prompt Engineering, LLM Fine-tuning, AI Workflow Automation, Business Process Automation, n8n, Make, Zapier, MCP Integrations, API Integrations. 𝗪𝗵𝗮𝘁 𝗜 𝗢𝗳𝗳𝗲𝗿 ✔ End-to-End Data Engineering Solutions ✔ ETL / ELT Pipeline Development ✔ Cloud Data Warehouse Design & Implementation ✔ Data Lake Architecture ✔ Data Migration & Modernization ✔ Real-Time Data Streaming Pipelines ✔ Business Intelligence Dashboards ✔ Executive KPI Reporting ✔ Marketing, Sales & Product Analytics ✔ Data Modeling & Database Optimization ✔ AI Agents & AI Assistants ✔ AI Workflow & Business Process Automation ✔ OpenAI, Claude & Gemini Integrations ✔ RAG Applications & Knowledge Base Chatbots ✔ API Integration & Data Automation ✔ Data Engineering Consulting 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 I have delivered data and analytics solutions across a wide range of industries, including SaaS, FinTech, Healthcare, E-commerce, Marketing, Logistics, Real Estate, Retail, Manufacturing, EdTech, and Sports Analytics. 𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲? • Production-Ready & Scalable Solutions • Strong Communication & Documentation • Clean, Maintainable Data Architecture • Long-Term Technical Support • Reliable Delivery Focused on Business Outcomes 𝗟𝗲𝘁'𝘀 𝗕𝘂𝗶𝗹𝗱 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 If you're looking for a Data Engineer, Analytics Engineer, Data Architect, BI Developer, Cloud Data Engineer, or AI Automation Specialist, I'd be happy to discuss your project and recommend the best technical solution for your business. 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘁𝗲𝗱 𝗦𝗸𝗶𝗹𝗹𝘀 SQL | Python | PySpark | Scala | Kafka | Flink | Airflow | Dagster | Prefect | Hadoop | Hive | Impala | NiFi | Databricks | Delta Lake | Snowflake | Amazon Redshift | Google BigQuery | PostgreSQL | SQL Server | MongoDB | DynamoDB | Aurora | AWS Glue | AWS Lambda | AWS Athena | AWS EMR | AWS Kinesis | AWS DMS | S3 | AWS RDS | Azure Data Factory | Azure Synapse Analytics | Azure Databricks | Azure Data Lake Storage | Google Dataflow | Google Dataproc | dbt | Fivetran | Airbyte | Stitch | Talend | Informatica IICS | SSIS | Power BI | Tableau | Looker Studio | Amazon QuickSight | Metabase | Zoho Analytics | OpenAI API | Claude API | Gemini API | LangChain | LangGraph | LlamaIndex | Vector Databases | Pinecone | FAISS | ChromaDB | RAG | n8n | GHL | Make | Zapier | REST API | GraphQL | Machine Learning | MLflow | MLOps