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Deby Candrakirana
Technical Lead · Data Platforms & Analytics Engineering
- Currently Technical Lead (contract) on a Microsoft Fabric streaming data platform for an oil & gas client
- Jakarta, Indonesia
I design and lead data platforms that turn operational and streaming data into decisions — 12+ years across 7 industries, from Oracle-to-Hadoop migrations to a Microsoft Fabric lakehouse. Recent outcomes: ~60% BigQuery cost reduction and a data engineering team scaled from 2 to 5 in three months.
- years experience
- 12+
- industries
- 7
- delivered projects
- 20+
Selected Projects
Professional work. Open a project for the full case study.
Data EngineeringMining
Industrial Data Platform for Mining Operations
Built an end-to-end Hadoop data platform integrating SCADA, Kafka, and external sources to support real-time mining operational analytics.
Real-time operational monitoring and data-driven decisions for the mining industry
NiFiKafkaHDFSHiveSCADAHadoop
Case study →Data EngineeringAgri-tech
Data Pipeline Optimization & BigQuery Cost Reduction
Audited data usage, split real-time vs batch workloads, and optimized queries and pipeline architecture on an agritech data platform.
Lower BigQuery spend through workload segmentation and query optimization
BigQueryAirflowFivetrandbtPython
Case study →Analytics & BIFintech
Revenue Analytics Dashboard — Payment Switching
Designed a centralized Tableau revenue dashboard covering multi-channel logic (HIMBARA & non-HIMBARA), rigorous business validation, and enterprise deployment on RedHat.
Centralized revenue dashboard with maintained accuracy and successful enterprise environment integration
TableauTableau ServerPentahoOracle → TiberoRedHat
Case study →Product ManagementAgri-tech
OKR-Based Product Delivery Transformation
Transformed product delivery from reactive ad-hoc execution to a structured OKR-based system aligning engineering, data, QA, and operations across measurable sprints with full stakeholder visibility.
Delivery predictability improved from ~40% to 85%+ · Release integration failures down 60%
JIRAConfluenceOKR FrameworkSprint PlanningChange Management
Case study →Data EngineeringAgri-tech
Building a Data Engineering Team from Scratch
Reskilled 5 system analysts into productive data engineers while keeping data operations running.
Data engineering team scaled from 2 to 5 in three months
BigQueryAirflowdbtMedallion Architecture
Case study →Data EngineeringHealthcare
Data Warehouse Migration to Hadoop Ecosystem
Led Oracle Data Warehouse migration to Hadoop at one of Indonesia's largest healthcare lab companies, without disrupting live analytical workflows.
Zero analytics downtime migration · Improved scalability · Reduced infrastructure costs
HadoopHiveParquetOozieOracle
Case study →Experience
Technical Lead
Jul 2026 – PresentStealth Startup (Oil & Gas Data Platform)
Contract Technical Lead on use-case-based initiatives for an oil & gas client — OT device streaming pipelines (Azure IoT Hub, Event Hubs, Fabric Eventstream) into a governed Microsoft Fabric Lakehouse, operational reporting, and AI use cases (Azure AI Foundry, Document Intelligence). Working closely with the PM to close solution gaps and mentoring the junior data team (client under NDA; presented by use case).
KoltivaMultiple roles
Head of Product & Data Operations
Jun 2025 – Jun 2026Led a cross-functional team of 13+ across Global Helpdesk, Customer Support, Product Operations, and Data Operations — acting as Tier 1/Tier 2 guardian and leveraging AI clustering analysis for continuous improvement.
Head of IT Governance & QA
Aug 2024 – May 2025Led a team of 20–30 QA engineers, standardized QA workflows with automation, and supervised master data integrity initiatives across B2B and B2C product lines.
Data Integrity & System Audit Manager
Mar 2024 – Jul 2024Led ERP alignment, GAP analysis, and system integrity assessment as project lead in collaboration with CEO and cross-division teams.
EdenFarmInternal promotions
Head of Technology
Oct 2023 – Feb 2024Led engineering and analytics teams aligning technology with business growth.
Data Engineer Manager
Jan 2023 – Oct 2023Designed scalable pipelines and data warehouse solutions.
Freelance – Lead Data Engineer & Senior Data Engineer
Aug 2023 – Early 2024Healthcare Industry • Mining Industry
Contributed as Lead Data Engineer on a healthcare project and Senior Data Engineer on a mining project — both as project-based collaborations done after office hours and on weekends.
XQ InformaticsInternal promotions
Team Lead – Data Engineering & Data Science
Late 2019 – Jan 2023Led multi-client data engineering & analytics projects at an IT consulting firm — serving telco, oil & gas, mining, and fintech clients.
Data Engineer & Data Visualization Specialist
Jul 2019 – Late 2019Started as individual contributor — built data pipelines and BI dashboards across multiple client projects before being promoted to Team Lead.
Head of System Development
Sep 2018 – Jun 2019PT Transportasi Jakarta (Transjakarta)
Led software development teams at Jakarta's public transit operator and managed third-party project evaluation, contracts, and executive reporting.
Frontend → Full Stack Developer
Aug 2016 – Aug 2018Dattabot
Built web applications and data-driven frontend interfaces across multiple digital product platforms.
Web Developer
Apr 2015 – Jun 2016PT EDI Indonesia
Developed web-based government tax payment modules (eTax, MPN G-2) in the banking team.
Skills & Tech Stack
Core expertise
Data Platform & Streaming
- Microsoft Fabric
- Fabric Eventstream
- Lakehouse / Medallion
- Azure Event Hubs
- Azure IoT Hub
- Apache Kafka
- Apache NiFi
- Apache Spark
- Hadoop (HDFS, Hive)
- Cloudera
Pipelines & Warehousing
- Python
- SQL
- Apache Airflow
- dbt
- Fivetran
- Google BigQuery
- PostgreSQL
- Oracle
- Pentaho
- Talend
Analytics & BI
- Power BI
- Tableau
- Apache Superset
- Tableau Server
- Power BI Gateway
- pandas
Also experienced in
Data Governance & Quality
- DAMA-DMBOK
- Great Expectations
- Data Quality Framework
- Row-Level Security
- Data Lineage
- Data Reconciliation
- SLA Management
Leadership & Delivery
- Team Building & Mentoring
- OKR
- Agile / Scrum
- IT Governance
- QA & Release Management
- Vendor Management
- Jira / Confluence
Applied AI
- Azure AI Foundry
- Document Intelligence
- RAG Pipelines
- Vector Databases
- Embeddings
- Ollama
Web & Mobile
- Next.js
- React
- TypeScript
- Flutter
- Firebase
- Go
- PHP / CodeIgniter
- REST API / OpenAPI
Certifications
Microsoft Learn profile →- AZ-900Microsoft Certified: Azure Fundamentals
- DP-900Microsoft Certified: Azure Data Fundamentals
- AI-900Microsoft Certified: Azure AI Fundamentals
- PL-300Microsoft Certified: Power BI Data Analyst Associate · 2021–2025 (expired)
Case Studies by Area
Detailed write-ups grouped by discipline.
Data EngineeringPipelines, platforms & AI-ready data infrastructureData AnalyticsEDA & business insightsData GovernanceEnsure data qualityData OperationsOptimize workflowsProduct Operation & ManagementDrive product delivery & operationsWeb & Mobile DevelopmentModern full-stack apps & cross-platform mobile
Personal Products & Exploration
Built outside client work — separate from the professional projects above.
Digital products
ShippedLedgerin and Home Tracker (Flutter + Firebase, Go backend with Swagger contracts) are live on the Play Store. This website is built with Next.js, including its AI assistant. Both built with an AI-assisted development workflow.
FlutterFirebaseGoNext.js
Applied AI from the data side
ExploringHands-on with RAG pipelines (chunking, embeddings, vector databases), tool integration via MCP, and local and cloud models (Ollama, Azure AI Foundry) — focused on what holds up in real use cases.
RAGVector DBMCPOllamaAzure AI Foundry