# Portfolio > Browse the full portfolio of Engineer ApS engineering achievements, each with a detailed review. - [Drove brand engagement and loyalty by 100% through market trend analysis and consumer behavior insights.](https://data.engineer.company/portfolio/drove-brand-engagement-and-loyalty-by-100-through-2/) - [Designed a comprehensive infrastructure framework for DTU impacting 14 departments, featuring flexible modules, unified data pipelines, and structured support strategies for long‑term adoption.](https://data.engineer.company/portfolio/designed-a-comprehensive-infrastructure-framework-for-dtu-impacting-3/) - [Engineered hourly electricity consumption aggregation pipeline in Python / SQL / Bash + Jq, achieving 180ms for 30‑day datasets across heterogeneous JSONL sources.](https://data.engineer.company/portfolio/engineered-hourly-electricity-consumption-aggregation-pipeline-in-python-4/) - [Accelerated geographical data pipeline performance by 50x by improving SQL programming and data modeling across PostgreSQL, MS SQL, and Google Cloud BigQuery.](https://data.engineer.company/portfolio/accelerated-geographical-data-pipeline-performance-by-50x-by-5/) - [Improved geographical map application performance by 10x through strategic database transition from MSSQL to PostgreSQL, optimizing processing and data security.](https://data.engineer.company/portfolio/improved-geographical-map-application-performance-by-10x-through-6/) - [Resolved 1,000 issues in geographical data and time‑series data, using GDAL, ArcGIS, PostGIS, Mapbox, QGIS, SQL (PL/pgSQL, Transact‑SQL), Bash, ensuring high‑quality big data processing.](https://data.engineer.company/portfolio/resolved-1-000-issues-in-geographical-data-and-7/) - [Designed, implemented, and administered 6 ETL/ELT pipelines, utilizing Google BigQuery, MSSQL, PostgreSQL, Shell scripting, PL/pgSQL, and Transact‑SQL, integrating data for efficient Python API processing.](https://data.engineer.company/portfolio/designed-implemented-and-administered-6-etl-elt-pipelines-8/) - [Developed and launched the company's first observability dashboard, providing real‑time system performance insights and data visualization on the large office TV.](https://data.engineer.company/portfolio/developed-and-launched-the-company-s-first-observability-9/) - [Delivered 8 Power BI projects with comprehensive manuals, integrating Microsoft Power BI tools with NodeJS API and Python FastAPI for effective data analytics and visualization.](https://data.engineer.company/portfolio/delivered-8-power-bi-projects-with-comprehensive-manuals-10/) - [Released 500 electricity and GIS data analysis reports, utilizing deep research and troubleshooting to ensure accurate geographic and time series big data insights.](https://data.engineer.company/portfolio/released-500-electricity-and-gis-data-analysis-reports-11/) - [Architected, created, and managed 100 PostgreSQL, MS SQL, and Google BigQuery data warehouse databases with primarily GIS and time‑series data, optimizing performance and scalability.](https://data.engineer.company/portfolio/architected-created-and-managed-100-postgresql-ms-sql-12/) - [Designed, deployed, and maintained 10 PostgreSQL and MS SQL servers on Ubuntu Linux VPS, ensuring optimal server performance and reliability.](https://data.engineer.company/portfolio/designed-deployed-and-maintained-10-postgresql-and-ms-13/) - [Enhanced data security by implementing 1,000 RBAC rules for developers, application instances, PostgreSQL, MS SQL, and other Linux servers, preventing unauthorized access; documented with Ansible automation.](https://data.engineer.company/portfolio/enhanced-data-security-by-implementing-1-000-rbac-14/) - [Accelerated PostgreSQL performance by 10x via strategic indexing, partitioning, and query optimization, enhancing database efficiency for user, tenant, geospatial, and time‑series electrical data.](https://data.engineer.company/portfolio/accelerated-postgresql-performance-by-10x-via-strategic-indexing-15/) - [Automated GIS SaaS application deployment, data processing, and reporting system using GitHub Actions CI/CD, Python, Bash, and SQL.](https://data.engineer.company/portfolio/automated-gis-saas-application-deployment-data-processing-and-16/) - [Automated delivery of 20 GIS data pipelines and app data ETL processes, streamlining infrastructure automation and reporting.](https://data.engineer.company/portfolio/automated-delivery-of-20-gis-data-pipelines-and-17/) - [Automated 100 critical data backups using Barman, Google Cloud, Bash, and Python, ensuring data integrity across databases.](https://data.engineer.company/portfolio/automated-100-critical-data-backups-using-barman-google-18/) - [Optimized forecasting and investment strategies for 11 electricity grid operators, driving operational efficiency through data‑driven GIS solutions.](https://data.engineer.company/portfolio/optimized-forecasting-and-investment-strategies-for-11-electricity-27/) - [Gathered and analyzed business requirements to translate into actionable features and user stories aligned with data governance standards.](https://data.engineer.company/portfolio/gathered-and-analyzed-business-requirements-to-translate-into-31/) - [Led the development, deployment, and support of over 30 GIS projects, demonstrating expertise in PostgreSQL, Bash, Python, JavaScript, GDAL, ArcGIS, PostGIS, and Mapbox technologies.](https://data.engineer.company/portfolio/led-the-development-deployment-and-support-of-over-35/) - [Streamlined data analysis and software development processes, saving 4,000 hours by introducing GitHub, GitLab, Bash, and Python CI/CD practices.](https://data.engineer.company/portfolio/streamlined-data-analysis-and-software-development-processes-saving-43/) - [Developed a Data Analytics reporting system, increasing quarterly software revenue by 400% through Python‑based PDF reports.](https://data.engineer.company/portfolio/developed-a-data-analytics-reporting-system-increasing-quarterly-44/) - [Automated data processing tasks using Shell scripting, PL/pgSQL, Python, and Transact‑SQL, increasing productivity and efficiency.](https://data.engineer.company/portfolio/automated-data-processing-tasks-using-shell-scripting-pl-45/) - [Engineered 600 PL/pgSQL‑based ETL/ELT pipelines to streamline complex data processing workflows across multiple PostgreSQL development and production environments.](https://data.engineer.company/portfolio/engineered-600-pl-pgsql-based-etl-elt-pipelines-54/) - [Architected, developed, implemented, supported infrastructure, data processing, and the map application for 2 years non‑stop without any weekends, holidays, or vacations, 10–14 hours a day.](https://data.engineer.company/portfolio/architected-developed-implemented-supported-infrastructure-data-processing-and-55/) - [Architected a layered maritime platform separating a Next.js PWA frontend, a Go (Huma/Fiber) API, and a PostgreSQL function layer, keeping all business logic in the database.](https://data.engineer.company/portfolio/architected-a-layered-maritime-platform-separating-a-next-57/) - [Designed a JSON passthrough architecture where PostgreSQL functions return complete JSON forwarded verbatim by the Go API, eliminating intermediate unmarshalling and decoupling the frontend from schema changes.](https://data.engineer.company/portfolio/designed-a-json-passthrough-architecture-where-postgresql-functions-58/) - [Designed a PostgreSQL function‑first data layer — 1,275 stored functions across 34 schemas — so every read and write goes through a function the database can grant, rather than through a table.](https://data.engineer.company/portfolio/designed-a-postgresql-function-first-data-layer-across-63/) - [Adopted UUID v7 time‑ordered identifiers (PostgreSQL 18) as entity keys to reduce B‑tree index fragmentation and speed up queries.](https://data.engineer.company/portfolio/adopted-uuid-v7-time-ordered-identifiers-postgresql-18-64/) - [Implemented a catalogue‑driven deep‑merge for stored JSON preferences, preventing missing‑key crashes as the schema evolves.](https://data.engineer.company/portfolio/implemented-a-catalogue-driven-deep-merge-for-stored-65/) - [Built the Python vessel‑data scrapers (MarineTraffic, Maritime‑Database) and a repeatable import that seeds the platform's reference data — 184,197 rows, including 698 companies and 56,149 vessels.](https://data.engineer.company/portfolio/built-a-python-vessel-data-scraper-marinetraffic-maritime-66/) - [Modeled the maritime domain into 348 normalized tables across 34 PostgreSQL schemas — professionals, companies, ships, jobs, reviews and the rest — with SMALLINT lookups and UUID v7 keys.](https://data.engineer.company/portfolio/modeled-the-maritime-domain-professionals-companies-ships-jobs-67/) - [Configured database backup retention as infrastructure‑as‑code, then audited the recovery position and documented the restore procedure — naming the remaining gaps rather than leaving them to be found during an incident.](https://data.engineer.company/portfolio/configured-database-backup-retention-as-infrastructure-as-code-72/) - [Delivered analysis and regular progress reports to the CEO, translating engineering metrics and delivery status into decisions.](https://data.engineer.company/portfolio/delivered-analysis-and-regular-progress-reports-to-the-81/) - [Designed a time‑management and reporting system that remained in production use for years without significant modification.](https://data.engineer.company/portfolio/designed-a-time-management-and-reporting-system-that-88/) - [Built the payments and entitlements layer — Stripe alongside Apple and Google in‑app purchase — gating the directory, search and export through an 11‑table access model checked on the server.](https://data.engineer.company/portfolio/built-the-payments-and-entitlements-layer-96/) - [Moved slow work off the request path onto a River job queue — 15 worker modules, 8 scheduled tasks and 20 pg_cron jobs — so a request returns while the work behind it carries on.](https://data.engineer.company/portfolio/moved-slow-work-onto-a-river-job-queue-97/) - [Kept the schema honest across 1,022 migrations with a CI gate that builds the database both ways — a fresh install, and an install plus every migration — and fails when the two disagree.](https://data.engineer.company/portfolio/kept-the-schema-honest-across-1022-migrations-99/) - [Built first‑party product analytics in PostgreSQL — 47 functions over partitioned event tables that prune themselves — pseudonymised behind a rotating salt and gated on the visitor's consent.](https://data.engineer.company/portfolio/built-first-party-product-analytics-in-postgresql-101/) - [Built the loyalty and reputation system — 67 functions over a 31‑table ledger, with leagues, badges and a redemption shop — taking a row lock on the balance to close the double‑spend window.](https://data.engineer.company/portfolio/built-the-loyalty-and-reputation-system-105/) - [Built the hiring marketplace and the seafarer career workspace — 151 stored functions across 48 tables — covering vacancies, applications, certificates, rank progression and verified sea time.](https://data.engineer.company/portfolio/built-the-hiring-marketplace-and-career-workspace-107/) - [Wrote a scope rule into the repository after a restructure carried another company's inventory, firewall allowances and prose into it — and kept the quarantined residue under the secret scanner rather than excluding it.](https://data.engineer.company/portfolio/wrote-a-scope-rule-after-a-credential-leak-124/) - [Generated 495 achievement pages across three languages from a read‑only SQLite export, with the page address authored as data so that correcting a sentence no longer moved the page and broke the link.](https://data.engineer.company/portfolio/generated-321-achievement-pages-from-a-sqlite-export-132/) - [Replaced 963 anonymous structured‑data blocks that restated the company 1,671 times with one linked graph of 16 types minted from stable origin identifiers.](https://data.engineer.company/portfolio/replaced-963-structured-data-blocks-with-one-graph-138/) - [Built a database‑driven CV, references, portfolio and cover‑letter generator in Python — 41 modules, 10,580 lines — rendering six output formats from one 23‑table SQLite source assembled by a 19‑step idempotent pipeline.](https://data.engineer.company/portfolio/built-a-database-driven-cv-and-portfolio-generator-144/) - [Wrote tests for the checkers themselves after establishing that a checker fed only clean input will one day report clean because it read nothing — planting a misspelling to confirm the spell‑check finds it, and taking an id range from the database rather than from a number in the test.](https://data.engineer.company/portfolio/wrote-tests-for-the-checkers-themselves-149/) - [Moved every user‑facing string out of Python into a content tree of 874 files across three languages, after finding dead translations nobody could see were dead and a check silently grading a third of the achievements.](https://data.engineer.company/portfolio/moved-every-user-facing-string-into-a-content-tree-152/) - [Built a cross‑language content check that fails when a translation drops a figure the English states, and when a language uses notation it does not use — finding two Danish descriptions missing a metric and sixteen Ukrainian spans quoting in the English style.](https://data.engineer.company/portfolio/built-a-cross-language-figure-and-notation-check-153/) - [Audited 644 Rust crates for licence compatibility on every build, and proved the check fires by rewriting one crate's licence and by moving the pinned core revision without regenerating.](https://data.engineer.company/portfolio/audited-644-rust-crates-for-licence-compatibility-163/)