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About Candidate
Data Engineer with 1+ years of hands-on experience designing and deploying scalable ETL/ELT pipelines, real-time data
ingestion systems, and analytics solutions across GCP and AWS. Experienced in building serverless data pipelines, Shopify
webhook and pixel-event ingestion, BigQuery data models, and marketing attribution workflows for D2C and e-commerce
clients. Proficient in Python, SQL, PySpark, BigQuery, Databricks, Kafka, and cloud-native data services, with a strong focus
on reliable, scalable, and real-time data processing.
Education
Experiences
• Engineered a serverless batch ETL pipeline on AWS Lambda to extract and process large CSV inventory exports from a
cloud-based ERP server and synchronize 50,000+ SKUs to a Denmark-based B2B/D2C client’s Shopify store via the
Shopify GraphQL API; implemented retry and fault-handling mechanisms, reducing end-to-end inventory
synchronization latency from hours to under 5 minutes.
• Built data and analytics infrastructure for a US-based e-commerce agency supporting 10+ Shopify D2C brands,
designing a serverless ingestion layer on Google Cloud Run for Shopify pixel events, orders, and Admin API webhooks;
replaced 4-hour batch workflows with near-real-time data availability.
• Engineered marketing attribution pipelines integrating Meta Conversions API and Google/Meta Ads data into BigQuery;
developed unified models for spend, ROAS, CPA, and MER across paid-media channels, replacing manual platform
reporting with an automated source of truth.
• Built self-serve Looker Studio dashboards on curated BigQuery data models for website performance and paid-media
analytics, reducing engineering effort for ad-hoc data requests by 40%.
• Recognized as the Emerging Star in the first year at Propero Consulting for demonstrating exceptional ownership,
initiative, and accountability, consistently driving projects and deliverables from execution to completion.
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