Experienced Software
Engineer & Tech Lead.
Seasoned IT professional with 8+ years of expertise in automating data pipelines, managing enterprise-scale Oracle DBs, DevOps, and architecting reliable IT systems to streamline business workflows.
Professional Career Track
Professional Journey
My career path and the track record that shapes my expertise today.
PT. SIGMA CIPTA CARAKA (TELKOMSIGMA)
August 2025 – December 2026
Leading IT company in Indonesia providing enterprise-scale infrastructure, cloud, and system integration solutions.
Role : Tech Lead
- Analyzed business and technical requirements to define appropriate technology solutions and implementation approaches.
- Prepared technical requirements, technical documentation, and IT resource plans to support project and operational activities.
- Translated business requirements into technical requirements, implementation activities, dependencies, and resource needs.
- Reviewed technical requirements and implementation plans to ensure alignment with business objectives and existing IT environments.
Key Achievements
- >Improved the structure and clarity of technical requirements, making them easier for technical teams to execute.
- >Supported better alignment between business requirements and technical implementation.
- >Improved project preparation through more structured technical planning, resource identification, and documentation.
- Coordinated technical activities across relevant IT teams to support project implementation and operational activities.
- Provided technical direction and guidance to team members during implementation and problem-solving activities.
- Facilitated communication between technical teams, project stakeholders, and business users.
- Identified technical dependencies, implementation requirements, and potential issues that could affect project delivery.
Key Achievements
- >Improved coordination between technical teams and stakeholders during project and operational activities.
- >Supported more structured execution of technical activities by clarifying responsibilities, requirements, and dependencies.
- >Improved collaboration across teams through effective communication and technical coordination.
- Reviewed proposed technical solutions against business requirements, existing infrastructure, application environments, and operational needs.
- Participated in technical discussions related to application, infrastructure, database, and enterprise IT solutions.
- Evaluated technical approaches and identified potential implementation constraints, dependencies, and operational considerations.
- Provided technical recommendations to support solution selection and implementation planning.
Key Achievements
- >Supported the selection of technical solutions that were aligned with business and operational requirements.
- >Reduced potential implementation issues by identifying technical dependencies and constraints during the planning stage.
- >Improved solution readiness through structured technical review and assessment.
- Prepared IT resource plans covering required technical resources, infrastructure, applications, and supporting components.
- Identified resource requirements based on project scope, technical architecture, implementation activities, and operational needs.
- Coordinated resource requirements with relevant technical teams and stakeholders.
- Supported planning of resource allocation for project and operational activities.
Key Achievements
- >Improved visibility of technical resource requirements during project planning.
- >Supported more effective resource allocation based on project requirements and technical dependencies.
- >Reduced the risk of resource gaps during implementation by identifying requirements earlier in the planning process.
- Prepared and maintained technical documentation, implementation plans, technical specifications, and operational guidelines.
- Established structured documentation for technical requirements, implementation activities, and system configurations.
- Reviewed technical documentation prepared by team members to ensure consistency and completeness.
Key Achievements
- >Improved consistency and quality of technical documentation.
- >Strengthened knowledge transfer between technical teams and operational support teams.
- >Improved maintainability of project and operational knowledge through structured documentation.
- Identified technical risks, dependencies, constraints, and potential issues during project planning and implementation.
- Coordinated investigation of technical issues with relevant engineering and support teams.
- Supported root cause analysis and development of appropriate technical solutions.
- Followed up on technical issues to ensure corrective actions were properly implemented.
Key Achievements
- >Enabled earlier identification of technical risks and dependencies during project activities.
- >Improved issue resolution through structured technical analysis and cross-functional coordination.
- >Reduced the potential impact of technical issues on project and operational activities.
- Supported technical planning and execution of IT implementation and enhancement projects.
- Coordinated technical activities throughout preparation, implementation, testing, deployment, and handover.
- Worked with engineering, infrastructure, database, application, and other technical teams to ensure implementation readiness.
- Monitored technical activities and followed up on outstanding implementation requirements.
Key Achievements
- >Supported smoother execution of technical implementation activities through structured planning and coordination.
- >Improved implementation readiness by ensuring technical requirements, resources, dependencies, and documentation were identified.
- >Supported successful transition of completed technical activities into operational environments.
- Identified opportunities to improve existing IT processes, technical workflows, and operational activities.
- Evaluated repetitive processes that could be standardized or automated.
- Worked with technical teams to identify appropriate automation and process-improvement opportunities.
- Supported implementation of improvements designed to increase operational efficiency and reduce manual effort.
Key Achievements
- >Improved operational efficiency through identification and implementation of process-improvement opportunities.
- >Reduced dependency on repetitive manual activities by promoting standardization and automation.
- >Supported continuous improvement of IT operational processes and technical workflows.
PT. SIGMA CIPTA CARAKA (TELKOMSIGMA)
August 2017 – August 2025
Leading IT company in Indonesia providing enterprise-scale infrastructure, cloud, and system integration solutions.
Role : Dev-Ops
- Administered Oracle Database and Oracle Siebel CRM environments supporting enterprise business operations.
- Installed, configured, cloned, and maintained Oracle Siebel CRM servers across development, testing, and production environments.
- Supported Siebel CRM environments for Telkom Enterprise, Wholesale, and Retail business operations.
- Performed database maintenance, SQL troubleshooting, data validation, performance analysis, backup, and recovery activities.
- Monitored enterprise applications, Oracle databases, and Linux servers to identify operational issues.
Key Achievements
- >Maintained stable enterprise application and database environments with minimal service interruptions.
- >Improved consistency between development, testing, and production environments through standardized installation and configuration activities.
- >Accelerated environment deployment through repeatable server installation and cloning procedures.
- >Improved troubleshooting efficiency by combining database analysis, application monitoring, and system log analysis.
- Developed Python and Shell/Bash scripts to automate system administration, data processing, monitoring, reporting, and operational activities.
- Identified repetitive manual processes and developed automation solutions to improve operational efficiency.
- Created reusable scripts for system checks, data validation, reporting, and operational support.
- Automated data-processing activities to reduce manual intervention and improve process consistency.
Key Achievements
- >Reduced repetitive manual activities through process automation.
- >Minimized human error by replacing manual operational tasks with standardized scripts and automated processes.
- >Improved operational efficiency by enabling technical teams to perform recurring activities more consistently.
- >Increased process standardization through reusable automation scripts and operational tools.
- Developed and executed SQL queries for data validation, reporting, troubleshooting, reconciliation, and database maintenance.
- Performed data migration and validation between Telkom Tcares customer data and Siebel Wholesale platforms.
- Performed data migration and validation between Telkom IndiHome customer data and Telkomsel platforms.
- Performed data migration and validation between Telkom Wholesale customer data and Telkom Infrastructure platforms.
- Performed data validation and reconciliation to verify data accuracy, integrity, completeness, and consistency.
Key Achievements
- >Supported successful large-scale data migration activities with accurate and reliable data transfer.
- >Improved data quality by identifying inconsistencies during validation and reconciliation activities.
- >Reduced migration-related risks through systematic data validation before and after migration.
- >Improved reliability of migrated customer data across enterprise platforms.
- Monitored Linux servers, Oracle databases, and enterprise applications using system monitoring and log-analysis tools.
- Utilized Splunk and AppDynamics to monitor application and infrastructure performance.
- Investigated application, database, server, and network incidents using structured troubleshooting and root cause analysis.
- Analyzed system logs to identify abnormal behavior, errors, performance issues, and potential service disruptions.
- Provided Level 2/Level 3 technical support for enterprise applications and infrastructure.
Key Achievements
- >Enabled earlier identification of potential system issues before they significantly affected business operations.
- >Reduced troubleshooting time through structured log analysis and root cause investigation.
- >Improved system availability by resolving application, database, infrastructure, and network-related incidents.
- >Supported operational continuity by resolving complex technical issues within required service levels.
- Implemented and maintained database and system backup procedures.
- Performed recovery activities for critical systems and business data.
- Supported disaster recovery procedures to improve system resilience.
- Validated backup and recovery processes to ensure critical data could be restored when required.
Key Achievements
- >Improved protection of critical business data through structured backup and recovery procedures.
- >Increased system resilience and supported business continuity during unexpected incidents.
- >Reduced operational risk associated with data loss and system failures.
- Managed user access to enterprise systems and business applications.
- Supported operating system hardening and implementation of security controls.
- Implemented security policies and access-management procedures.
- Reviewed system access and configuration to support secure enterprise operations.
Key Achievements
- >Strengthened system security through controlled user access and security configuration.
- >Reduced operational risks associated with inappropriate system access and insecure configurations.
- >Improved consistency of access-management practices across supported enterprise environments.
- Analyzed existing IT infrastructure and identified opportunities for improvement.
- Supported hardware, software, server, and architecture assessments.
- Collaborated with engineering teams to analyze system capacity and performance.
- Recommended infrastructure improvements based on operational and business requirements.
Key Achievements
- >Supported long-term infrastructure scalability and capacity planning.
- >Improved infrastructure efficiency through identification of performance and capacity requirements.
- >Helped ensure technology environments could support increasing business workloads.
- Developed and customized software applications based on business requirements.
- Supported application enhancement, troubleshooting, and system integration activities.
- Collaborated with developers and engineering teams to analyze application issues and implement improvements.
- Integrated data management solutions with enterprise applications.
Key Achievements
- >Improved application functionality and end-user experience.
- >Delivered application enhancements aligned with business requirements.
- >Improved data accessibility and processing through integration and data-management solutions.
- >Supported more reliable enterprise application operations through structured troubleshooting and enhancement activities.
- Prepared technical documentation, deployment procedures, operational guides, and troubleshooting documentation.
- Provided technical support for enterprise applications, databases, servers, and infrastructure.
- Collaborated with database administrators, developers, network engineers, infrastructure teams, and business stakeholders.
- Supported knowledge transfer and operational handover activities.
Key Achievements
- >Improved knowledge sharing and operational consistency through standardized technical documentation.
- >Reduced dependency on individual technical resources by documenting operational and troubleshooting procedures.
- >Improved collaboration between technical teams and business stakeholders.
- >Supported faster onboarding and knowledge transfer for support teams.
PT. PUTRA SEJATI INDOMAKMUR
July 2016 – July 2017
A leading provider of oil exploration and production services.
Role : Engineer
- Developed Python scripts to automate data extraction, cleansing, transformation, analysis, and reporting of Data Acquisition Unit (DAU) data.
- Validated and analyzed DAU datasets to ensure data accuracy, integrity, and consistency.
- Monitored system-generated data and investigated abnormal readings and data anomalies.
- Developed reusable Python-based reporting and visualization tools for engineering and operational teams.
Key Achievements
- >Automated repetitive data-processing activities, reducing manual effort and improving reporting efficiency.
- >Improved data quality by identifying and resolving data inconsistencies before reporting.
- >Enabled faster identification and investigation of abnormal data through systematic analysis.
- >Standardized reporting activities through reusable Python-based reporting and visualization tools.
- >Improved availability of timely and consistent analytical information for engineering and operational decision-making.
- Collaborated with engineering and operations teams to analyze DAU data and improve data acquisition workflows.
- Investigated data anomalies and performed root cause analysis to identify potential issues in the data acquisition process.
- Supported continuous improvement of data-processing and reporting activities.
Key Achievements
- >Improved operational efficiency by streamlining data analysis and reporting workflows.
- >Supported more reliable analytical outputs through improved data validation and quality checks.
- >Reduced investigation effort by applying structured analysis to abnormal data conditions.
- Installed and configured Autonics industrial sensors for production and automation systems according to technical specifications.
- Performed sensor calibration, testing, and commissioning before production deployment.
- Diagnosed and resolved sensor installation, wiring, and communication issues.
- Read and interpreted electrical wiring diagrams to ensure accurate installation.
- Collaborated with engineering and maintenance teams during sensor deployment and system integration.
Key Achievements
- >Successfully completed sensor installation and commissioning with minimal disruption to operational activities.
- >Improved measurement accuracy through proper sensor calibration and testing.
- >Reduced troubleshooting time through systematic identification and correction of installation and communication issues.
- >Supported successful automation project delivery by ensuring sensors were properly installed, tested, and operational.