Haikal Zaini
About Candidate
Data Engineer with 5+ years of experience in building, maintaining, and optimizing data pipelines and data processing systems. Experienced in supporting business and campaign teams by delivering reliable and well-structured data through SQL, stored procedures, and data workflows.
Currently working as a DevOps/Data Engineer, responsible for monitoring and maintaining production data pipelines using PySpark, Shell scripting, and Talend. Skilled in optimizing jobs to improve performance and reduce manual processes, ensuring high availability and data accuracy.
Hands-on experience with big data technologies including Hadoop ecosystem (Hive, Impala) and Google BigQuery for data extraction, transformation, and analytics support.
Education
Studied Information Technology with a focus on software development, databases, and data processing. Gained foundational knowledge in programming, data structures, and system design, which supports my current work in data engineering and data pipelines.
Work & Experience
As a Data Engineer, I am responsible for managing and maintaining large-scale data pipelines in a production environment, ensuring data availability, reliability, and accuracy for business operations. I work closely with cross-functional teams and clients to support data integration, processing, and delivery using technologies such as PySpark, Shell scripting, and big data tools (Hive, Impala, BigQuery). I also proactively identify inefficiencies in existing workflows and implement automation solutions to reduce manual intervention, improve processing time, and increase system reliability. Additionally, I ensure data quality through validation, monitoring, and troubleshooting production issues, while maintaining clear and transparent communication with stakeholders to ensure smooth project delivery.
Worked as a Data Engineer and Analyst, supporting business and campaign teams by providing reliable and structured data for decision-making. Developed and maintained SQL-based data processing and stored procedures to ensure efficient data transformation and availability. In freelance engagement, I continued to support data-related tasks, including data extraction, processing, and reporting, ensuring business teams received accurate and timely data insights.
Worked as a Data Engineer and Analyst, supporting business and campaign teams by providing reliable and structured data for decision-making. Developed and maintained SQL-based data processing and stored procedures to ensure efficient data transformation and availability. In freelance engagement, I continued to support data-related tasks, including data extraction, processing, and reporting, ensuring business teams received accurate and timely data insights.
Worked as a Data Engineer in multiple large-scale big data implementation projects across telecommunications and financial industries. At Indosat Ooredoo, I developed and maintained big data pipelines for the Revenue Module using PySpark (Python and Spark), ensuring data accuracy and system performance in a production environment. At Bank Sinarmas, I contributed to a large-scale data migration project using Talend and Hadoop, handling complex data transformation processes and ensuring data consistency across more than 2,000 tables. At United Tractors, I developed data processing logic and stored procedures using Google BigQuery to support analytics and reporting requirements. This experience strengthened my expertise in big data processing, ETL development, and handling complex data systems across different industries.
Started my career as a Programmer, responsible for developing and maintaining web-based applications for clients. Worked on application features, bug fixing, and system improvements to ensure application performance and user satisfaction. This role helped me build strong fundamentals in programming, system logic, and problem-solving, which later supported my transition into data engineering.
