✅ Work with marketing teams exploring customer data ✅ Focus on customer segmentation, attribution modeling, performer vs non-performer analysis, conversion prediction, extended customer journeys, customer behaviour analysis, pattern recognition, anomalies detecting ✅ Create and utilise custom AI solution ✅ Design easy-to-use dashboard with storytelling ✅ Technical Skills: Python, SQL, Cloud computing, LookerStudio, Tableau ✅ Architect DWH, build data pipelines

I am an Adobe Experience Cloud Architect and Data Engineer with 7+ years of experience designing enterprise-grade Adobe Experience Cloud, data engineering, and business intelligence solutions across Adobe Experience Manager (AEM), Adobe Analytics, Adobe Experience Platform (AEP), Customer Journey Analytics (CJA), Adobe Target, data pipelines, and reporting platforms like Microsoft Power BI. I help organizations build end-to-end Adobe and data ecosystems — from AEM implementation, Adobe Analytics tracking, Web SDK / XDM data collection, and customer data ingestion to ETL/ELT pipelines, transformation layers, reporting models, personalization, and advanced analytics. My work sits at the intersection of Adobe Experience Cloud, data engineering, marketing analytics, and BI reporting. I help companies unify data from websites, CRM systems, marketing automation platforms, advertising platforms, and analytics tools into reliable data pipelines, warehouse/lake layers, Power BI dashboards, and activation-ready datasets. What I specialize in: * Adobe Experience Manager (AEM): AEM 6.x, AEM Cloud Service, AEM component development, Sling Models, editable templates, AEM Sites, performance optimization, CDN caching, asset migration, and enterprise AEM implementation * Adobe Analytics & Customer Journey Analytics (CJA): Adobe Analytics implementation, report suite design, eVars/events mapping, Web SDK, AppMeasurement, XDM, CJA connections, data views, metrics, dimensions, attribution, and advanced analytics dashboards * Adobe Experience Platform (AEP / RT-CDP): XDM schema design, dataset setup, batch ingestion, streaming ingestion, identity namespaces, Real-Time Customer Profile, segmentation, destinations, and customer profile activation * Adobe Target & Personalization: A/B testing, personalization strategy, Adobe Analytics integration, AEP integration, audience targeting, experience targeting, and optimization * Data Engineering & Data Pipelines: ETL pipelines, ELT pipelines, API integrations, data ingestion, data transformation, Azure Synapse, Databricks, Google BigQuery, SQL, Python, dbt-style transformation models, and automated data workflows * BI, Reporting & Dashboards: Microsoft Power BI, Looker Studio, semantic models, KPI dashboards, executive reporting, marketing performance dashboards, campaign reporting, sales reporting, and unified analytics dashboards * Marketing, CRM & Advertising Integrations: Salesforce, Eloqua, Adobe Analytics, AEP, CJA, Google Ads, LinkedIn Ads, Meta Ads, web analytics, campaign data, customer journey data, and cross-platform data unification I focus on building reliable, scalable, and maintainable systems — not just dashboards, but the full architecture behind them: source systems → data pipelines → warehouse/lake layer → transformation models → reporting layer → business insights. Core Skills: Adobe Experience Manager (AEM), Adobe Analytics, Adobe Experience Platform (AEP), Customer Journey Analytics (CJA), Adobe Target, Web SDK, XDM, data engineering, ETL/ELT pipelines, API integrations, SQL, Python, Azure Synapse, Databricks, Google BigQuery, Microsoft Power BI, Looker Studio, Salesforce, Eloqua, marketing analytics, and business intelligence.

I design and build robust data pipelines that turn raw data into clean, actionable insights. I specialize in automating ETL workflows, integrating multiple data sources, and ensuring systems are reliable and scalable. My focus is on practical, well-engineered solutions that work in real-world scenarios and grow with your business. How I work: Analytical and quality-focused: I create systems that minimize errors and require minimal maintenance. Transparent communication: You’ll always know the status of your project, and I provide feedback quickly. Honest guidance: If a requirement doesn’t make sense, I’ll point it out and suggest better alternatives. Core skills: Python & SQL: Efficient, maintainable, and clean code. ETL/ELT & Data Pipelines: Python, DBT, Dagster, Databricks (PySpark), Airbyte. Data Cleaning & Transformation: Turning messy data into reliable, analytics-ready formats. Cloud & DevOps: AWS (Lambda, Glue, Athena, S3, EC2, Batch, Step Functions), Docker, ECS, Bash scripting, CI/CD (GitHub Actions, CodePipeline), Terraform. I deliver solutions that are accurate, scalable, and tailored to your needs. My goal is simple: make your data work for you, not the other way around.

I build the reporting layer companies actually trust - clean pipelines, well-modeled warehouses, and Power BI dashboards whose numbers hold up under scrutiny. For 3+ years I've owned BI-ready data end to end: pulling from 5-7 sources (GA4/BigQuery, ad platforms, CRMs, S3, Google Sheets), modeling with SQL and dbt, and shipping dashboards in Power BI. On performance-marketing accounts I've worked with backends of 200+ tables, 50+ stored procedures, and tables up to 200M rows - including complex multi-source attribution. What clients hire me for most: • Power BI dashboards & Excel→Power BI migrations - turn messy spreadsheets into a single, automated source of truth. • Analytics engineering (dbt + warehouse) - BI-ready marts, tests, documentation, metric definitions you can rely on. • Marketing & attribution analytics - connect ad spend to revenue and fix the funnel where leads leak. • Data-quality rescue - when your report numbers don't match reality, I find the root cause and fix it. Example: a medical client was losing 80% of leads between call and booking in our report and was ready to churn. I traced it to a timezone mismatch between two source systems, corrected current + historical data, and brought the numbers within 2% of theirs - they renewed for another year. Stack: SQL / SQL Server, Power BI, dbt, BigQuery, GCP, Airbyte, PostgreSQL, S3/AWS, Power Query, Power Automate, Git. Plus 10+ years leading projects and stakeholders - so I translate business needs into data, and data back into decisions. Clear communication, reliable delivery, and accuracy you can verify. Let's make your data something you can trust.

Experienced Data Professional with 11 years of experience building scalable, secure data platforms in healthcare and insurance, combined with an MSc in Data Science (Distinction). I specialise in delivering ML-ready data architectures that drive real business outcomes. 🔹 Reduced data processing costs by 40% through AWS optimisation 🔹 Automated 80% of reporting, cutting delivery from 48h to 6h 🔹 Led zero-downtime migrations for 250+ healthcare providers 🔹 Designed event-driven systems processing millions of claims daily Tech: AWS (Glue, Redshift, Athena, Lambda), Python, SQL, Spark, Databricks, dbt, Airflow Strengths: Data warehousing, Data platforms, feature engineering, regulatory-compliant systems

Hi, I am a Data & Analytics Engineer with 5+ years building cloud data pipelines and BI solutions. I help companies move data from ERP systems, APIs, and files into Snowflake and Azure so they get reliable, scalable analytics and dashboards. I work with Snowflake (warehouses, RBAC, query tuning, cost optimization), Azure Data Factory (REST/OData, Blob, orchestration), DBT (transformations, SCD Type 2) and Power BI (DirectQuery, DAX, semantic models). I have built pipelines from Epicor, Oracle, SharePoint and AWS S3 into analytics-ready layers using Medallion architecture, with lineage and governance in Purview, Alation, and Unity Catalog. I am Scrum Master certified, use Azure DevOps and Git for CI/CD and automate infrastructure with Bicep. I am based in Denmark, fluent in English and used to working with global teams. I document everything so your team can maintain what we build. Tell me your data sources and goals and I can outline a solution and start quickly.

Data Analyst | Transforming Data into Insights to Drive Results With 3 years of hands-on experience as a data analyst, I specialize in uncovering insights and enabling data-driven decision-making for businesses across various industries. I am proficient in data visualization, advanced analytics, and providing actionable recommendations to optimize performance and support strategic growth. What I Offer: - Data Analysis and Reporting: Using tools like SQL, Python, and Excel, I clean, analyze, and interpret complex datasets to deliver clear, meaningful reports. - Data Visualization: Expert in creating compelling dashboards and visualizations with tools like Tableau, Power BI, and Looker, making it easy for stakeholders to understand key metrics. - Data Modeling: Skilled in building models and conducting statistical analysis to help clients forecast trends and make informed decisions. - ETL Processes: Strong background in ETL workflows to ensure data quality and consistency across different systems, particularly in dbt and Snowflake. Why Work with Me? - Client-Centered Approach: I prioritize clear communication and strive to understand your unique needs to deliver results that exceed expectations. - Efficiency and Accuracy: With a focus on detail and time management, I deliver high-quality work within deadlines. - Continuous Improvement: I keep up with the latest trends and best practices in data analytics to bring fresh, impactful insights to each project. If you're looking for a data analyst who can help transform your data into actionable insights, let’s connect. I'm excited to help you achieve your business goals through data!

AWS Certified Data Engineer | Snowflake | Redshift | dbt | ETL | Analytics Engineering I’m a Data Engineer with 5+ years of experience building scalable data platforms, high-performance ETL pipelines, and modern analytics architectures across AWS and cloud-based data ecosystems. I specialize in designing reliable, cost-efficient, and production-grade data solutions that support reporting, business intelligence, analytics, and operational decision-making. My experience includes working with high-volume data systems processing billions of records and multi-terabyte datasets, with strong focus on performance optimization, scalability, and maintainable architecture design. Core Expertise: • ETL/ELT pipeline development using Python, SQL, AWS Glue, dbt, and PySpark • Data warehouse and lakehouse architecture design • Snowflake, Redshift, Athena, PostgreSQL, BigQuery, and modern analytics platforms • Analytics engineering and data modeling for dashboards/reporting • CDC and incremental ingestion pipeline design • API integrations and large-scale data ingestion workflows • Query optimization, partitioning, and cloud cost reduction strategies • Reporting pipelines for BI tools including Looker and Power BI • AWS ecosystem: S3, Glue, Lambda, Athena, EMR, Redshift, IAM, Kinesis Key Achievements: ✔ Built and optimized pipelines processing 2TB+ of data daily ✔ Managed analytics workloads handling billions of records ✔ Reduced cloud analytics costs by 30% through optimization strategies ✔ Improved query performance and reporting speed by up to 50% ✔ Designed scalable reporting and analytics data models for business teams Tech Stack: Python | SQL | AWS | Snowflake | Redshift | dbt | Athena | Glue | PySpark | PostgreSQL | Airflow | Looker | Power BI | BigQuery | Iceberg | Delta Lake Whether you need help modernizing your data stack, building scalable pipelines, optimizing warehouse performance, designing reporting models, or migrating analytics infrastructure — I focus on delivering practical, business-focused solutions with clear communication and reliable execution.

Data Engineer specializing in Snowflake, SQL, dbt, data quality, and analytics. Experienced in supporting enterprise data migration, validation, reporting, and data product initiatives within banking and HR technology environments. Combining a background in software development, data engineering, and business reporting, I help organizations build reliable data solutions, improve data quality, and transform complex data into trusted insights for decision-making. I work closely with engineering teams, analysts, and business stakeholders to deliver scalable data platforms, reporting solutions, and analytics capabilities that drive business value. Areas I can help with: ✔ Snowflake Data Engineering ✔ dbt Development & Analytics Engineering ✔ SQL Development & Query Optimization ✔ ETL / ELT Pipelines ✔ Data Quality Testing & Validation ✔ Data Migration & Reconciliation ✔ Power BI Reporting & Dashboards ✔ Data Analysis & Business Insights ✔ Data Products & Analytics Enablement

I help businesses automate workflows, reporting, and data processes using AI and modern data tools. I build end-to-end automation systems that connect APIs, databases, and AI models removing manual work and turning scattered data into clear, actionable insights. Core expertise: AI-powered automation workflows with n8n API integrations (Gmail, Google Sheets, CRMs, and custom external services) Data pipelines using BigQuery and Python Data transformation and modeling with dbt AI/LLM integrations (OpenAI and others) for reporting, classification, and insight generation Recent work includes: Automated reporting pipelines that generate AI-written summaries and deliver them by email on a schedule Real-time data monitoring and alerting workflows (n8n + Google Sheets) for operational teams End-to-end analytics pipelines from raw API data to BigQuery, transformed with dbt, and visualized in dashboards Large-scale e-commerce data pipelines handling high transaction volumes with clean, query-ready architecture Data classification and audit projects processing 600+ records with detailed taxonomy and quality control What you get working with me: Fully automated workflows tailored to your specific process, not generic templates Clean, scalable, and maintainable architecture your team can rely on long after delivery Clear, responsive communication and fast iteration cycles A focus on business outcomes time saved, errors reduced, decisions made faster not just technical execution If repetitive manual work, scattered data, or slow reporting is holding your team back, let's talk about what we can automate. I'm happy to start with a quick technical assessment of your current process before scoping the work.