Marcus A.

Hi, I’m Marcus! With over 5 years of experience as a Data & Analytics Engineer, I help startups, SaaS, and scaling companies turn fragmented, messy pipelines into decision-grade analytics.

Too many businesses have pretty dashboards that nobody trusts because the underlying data is broken. My work lives beneath the surface: designing reliable data architectures, setting up robust orchestration, writing clean transformation logic, and standardizing metrics. I fix the infrastructure so your team can actually trust the charts.

Core Expertise

Analytics Engineering & Orchestration: Building scalable data pipelines and orchestration workflows using dbt, Apache Airflow, Airbyte, and SQL. Deep experience modeling data in PostgreSQL, ClickHouse, BigQuery, Snowflake, and SQL Server.

Modern Stack & AI Integrations: Building low-code/event-driven automations (n8n, Retool), developing custom Python scripts, and building AI-assisted workflows (vector stores, RAG architectures, and custom API bots).

Business Intelligence & Metrics: Designing clean semantic layers and intuitive dashboards in Power BI, Looker / Looker Studio, Metabase, Apache Superset, Explo, and Grafana.

Data Quality & Migrations: Executing zero-downtime database migrations (e.g., legacy S3/Rockset to ClickHouse/PostgreSQL), setting up anomaly detection, and validating metrics for long-term reliability.

Where I Add Value

I work as a true technical partner for remote-first teams across SaaS, FinTech, and e-commerce. Whether you need to migrate a legacy production pipeline, unify scattered Stripe and HubSpot data, optimize slow SQL queries, or set up end-to-end revenue analytics, I build systems that are scalable, well-documented, and easy to maintain.

If your goal isn’t just “making a chart,” but actually structuring, automating, and trusting your data platform, let’s connect!