Chisom N.-Senior Analytics Engineer
Check rate
Experience
Founder & Analytics Engineer
Museni Nexus
- Client — Podimo ApS (podcast & audiobook streaming): build the finance reporting layer on BigQuery + dbt + Airflow, including the core revenue-transaction fact tables used across finance reporting.
- API automation: design and build a BigQuery → Airflow → Microsoft Dynamics 365 Business Central REST-API pipeline to automate sales-invoice posting, with idempotency and master-data sync between systems.
- Delivery: sole engineer on the engagement — requirements, modelling, orchestration and stakeholder communication with the client finance team, end to end.
Senior Analytics Engineer
Tonies GmbH
- Revenue impact: built the reverse-ETL user-stats product ("Tonies' Wrapped") that contributed ~€350k of Q4 2025 revenue.
- Cross-source reconciliation: lead the wholesale sell-out pipeline (Snowflake + dbt) reconciling retailer sell-out data against internal sell-in figures across wholesalers on multiple continents — heterogeneous exports, no shared entity IDs, and numbers that do not agree out of the box.
- Data architecture & CI/CD: drove an architecture upgrade separating dev/prod databases, eliminating redundant dbt projects, and adding CI tests, incremental loading and clustering to keep production pipelines stable and cost-efficient.
- Marketing attribution & MMM: lead implementation of performance-marketing metrics and media-mix modelling, attributing offline retail sales uplift to specific campaigns.
- Integration & tracking standards: defined event-naming templates and data contracts (documented in ADRs) so new Toniebox 2 data flows into existing models with no remodelling.
- Leadership: mentor 3 analytics engineers, setting standards for data quality and guiding the team through ambiguous, undocumented integration work.
- AI-assisted development: optimise the agentic AI workflow that generates dbt staging models, directing and reviewing output as a force multiplier for the team.
Analytics Engineer
Podimo ApS
- Royalty-style payouts: automated the revenue-share and payout process for podcast creators and audiobook publishers, encoding complex contract logic as tested, versioned dbt models — cut cycle time from 18 to 7 days, saving ~€1.2M annually.
- Platform migration: spearheaded migration from legacy SAS to BigQuery with no downtime, and built the core models serving data scientists, analysts and product analysts; reduced ELT/dbt + BigQuery cost ~70% in the first weeks.
- Revenue reporting: automated revenue reporting with outlier tests that flag anomalies for finance deep-dives before payouts go out.
- CLV automation: automated Customer Lifetime Value computation with a 5-year forecast, surfaced via a self-serve Looker dashboard.
Analytics Engineer
Trade Republic GmbH
- API integrations: used Airflow to orchestrate ingestion from multiple external APIs into the data lake/warehouse (Snowflake, AWS S3); built unit tests, scheduling and shared Python tooling.
- Reporting automation: automated reporting to cut manual data processing ~50%, serving finance, product, security, operations and strategy teams.
- Experimentation & KPIs: helped build an internal A/B-testing platform and the company-wide KPI dashboard used by leadership to set targets and report to the board.
- Enablement: mentored 100+ business users on Looker, Snowflake and SQL, promoting best practices in analysis and visualisation.
Data Analyst
Solaris SE
- Invoicing & enablement: automated invoicing to cut issue time from 7 to 2 business days, speeding B2B remittance; ran SQL and analytics training for business users.
- Risk modelling: refined default-probability prediction models, improving accuracy.
Technical Sales Analyst
Bosch GmbH
- Contributed data analysis to Bosch's ultrasonic-sensor autonomous-driving project, collaborating cross-functionally to keep delivery on track.
Industry Experience
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Experienced in Manufacturing, Banking and Finance, Information Technology, Media and Entertainment, Retail, and Automotive.
Business Area Experience
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Experienced in Business Intelligence, Information Technology, Finance, Marketing, Operations, and Product Development.
Summary
Analytics engineer with 7+ years building data platforms from the ground up and turning fragmented, disagreeing source systems into a single trustworthy picture of the business. Deep hands-on experience in Snowflake/BigQuery + dbt + Airflow warehouse design, entity resolution and reconciliation across heterogeneous sources, and financial and revenue attribution — including two years in retail brokerage, where reconciliation errors are regulatory problems, not reporting ones. Comfortable owning architectural decisions end to end, writing them down, and leading small teams through ambiguous integration work where the rules aren't documented and the data fights back.
Skills
- Warehouse & Modelling: Snowflake, Bigquery, Dbt, Dimensional & Semantic-Layer Modelling (Lookml), Incremental & Clustered Pipelines, Query Optimisation
- Integration & Orchestration: Airflow, Rest/Web Apis, Fivetran, Entity Resolution & Reconciliation, Source-Of-Truth Design (5+ External Saas Sources), Reverse Etl
- Finance Data: Revenue Attribution, Creator/Royalty Payout Logic, Cost Allocation, Invoicing Automation (Incl. Dynamics 365 Business Central), Anomaly Testing
- Quality & Delivery: Ci/Cd (Gitlab, Github), Dev/Prod Isolation, Data Contracts, Testing, Observability, Slack Alerting, Adrs
- Ai-Assisted Engineering: Directing & Reviewing Ai Agents In Production Dbt Workflows — Staging-Model Generation, Validation Harnesses
- Technical: Sql (Expert), Python (Advanced), Bash, Gcp, Aws (Incl. S3), Looker, Tableau, Power Bi
- Leadership: Mentoring & Leading Small Analytics-Engineering Teams; Stakeholder Alignment Across Finance, Product & Exec
Languages
Education
M.Sc. Business Intelligence & Process Management · Business Intelligence & Process Management · Berlin, Germany
B.Eng. International Business Engineering · International Business Engineering · Schweinfurt, Germany
B.Eng. Mechanical Engineering · Mechanical Engineering · Awka, Nigeria
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Experience
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