Daniel Enggaard-Software/Data/AI Engineer
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Experience
Advanced IT Consultant
NNE
- Set the technical foundation for a Databricks lakehouse - one of the largest IT systems at one of the world's largest pharmaceutical companies - establishing the technology, processes, and engineering culture the platform and team would build on, from scratch to production for a global manufacturing-analytics platform used across all production lines. Medallion architecture, infrastructure as code, and a full unit/integration/system test suite, replacing a 20-year-old legacy system.
- Provisioned core AWS services (ECS/Fargate, Lambda, Kinesis, Firehose, networking, IAM) as code via AWS CDK, to the enterprise's cloud standards.
- Collaborated cross-functionally across multiple teams and stakeholders throughout the project.
- Core member of the group evaluating the company's global enterprise architecture - vendor, technology, and integration decisions spanning multiple teams, services, and systems, across a broad stack.
- Helped shift engineering culture in a large, multi-vendor enterprise toward modern software engineering tools and processes, pushing back on a low-code, deploy-to-prod-by-hand approach for a new OT platform.
- Designed and implemented master data management solutions for production environments.
Founding Technical Lead
Fintech Startup
- Founding technical lead of a fintech startup building tokenized financial products; own the blockchain development end to end - designing and deploying the smart contracts and the governance controls needed for investor protection under a Danish FSA audit.
- Building the platform that will let partner financial institutions integrate with and distribute the product to their own customers.
- Own security and architecture more broadly: a multi-account AWS organization built to best-practice standards and a repository structure split deliberately for least-privilege access; currently laying the groundwork for SOC certification.
IT Consultant
NNE
End-to-end engineering consultancy for pharmaceutical manufacturers; focus: cloud, data, and data science.
Software Engineer
The Many
Digital investment platform giving private investors access to alternative investments.
- Owned the core MySQL/Cloud SQL database and data access layer; designed a new database and access layer to fix scalability issues and unify investor data from multiple sources.
- Built the core web API for external access to investment data; ran batch ingestion of banking-API transaction data (incl. auth) and stream processing of events via Google Pub/Sub and Cloud Functions.
- Monitored database integrity, availability, and cost; wrote the disaster-recovery plan.
Vertical AI for Financial Audit - own business idea
- Designed and deployed a multi-tenant SaaS on AWS with enterprise-grade authentication/authorization and tenant-admin access, for auditors analyzing uploaded financial documents.
- Built an agentic AI chat interface with tool use (file I/O, memory, SQL execution, agent-to-agent communication) and pre-defined agentic workflows for domain-specific audit tasks.
- Designed outputs to carry their own evidence: document-grounded, per-figure citation back to source spreadsheet cells, plus automated anomaly and balance checks.
- Designed and shipped the product frontend (React/Next.js), including a side-by-side spreadsheet viewer and citation UI.
- Validated the idea through direct outreach to auditors at multiple firms before deciding SOM was not big enough.
Industry Experience
See where this freelancer has spent most of their professional time.
Experienced in Pharmaceutical, Banking and Finance, Manufacturing, and Information Technology.
Business Area Experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Business Intelligence, Investments and M&A, Operations, Product Development, and Quality Assurance.
Summary
Software/data/AI engineer focused on production-grade systems in large, regulated enterprise environments - most recently building the Databricks lakehouse behind a global manufacturing-analytics platform at one of the world's largest pharmaceutical companies, and currently founding technical lead of a fintech startup. Comfortable ranging across the full stack: cloud/security architecture, backend data systems, and applied AI/agentic product work, with frontend experience alongside.
Skills
Cloud & Security
- Aws (Lambda, Ec2, Ecs, Kinesis, S3, Multi-Account Orgs, Iac)
- Security Architecture
- Least-Privilege Design
Data Engineering
- Databricks (Medallion/Lakehouse)
- Apache Kafka
- Batch & Stream Processing
- Pipeline Testing
- Ci/Cd
Ai/Llm Engineering
- Agentic Workflows
- Tool Use
- Langchain
- Document-Grounded Citation & Traceability Design
Frontend
- React
- Next.Js
Languages & Data
- Typescript
- Python
- Node.Js
- Sql (Postgresql, Mysql, T-Sql, Cloud Sql)
- .Net
Ways Of Working
- Regulated/Gxp Environments
- Requirements Engineering
- Stakeholder Management
- Strong Execution
Languages
Education
IT University of Copenhagen
MSc, Specialization: Machine Learning · Computer Science · Copenhagen, Denmark
IT University of Copenhagen
BSc · Software Development · Copenhagen, Denmark
Certifications & licenses
Azure Data Fundamentals
Databricks Data Engineer Associate
AWS Certified Solutions Architect
IBM Data Engineering
Statistics
Experience
Expertise
Qualifications
Profile
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