takashi koike

• Designed and automated scalable data extraction and transformation pipelines in cloud environments (Azure, GCP), incorporating data cleansing, validation, and QA scripting to ensure high integrity and performance.
• Implemented automated data profiling and monitoring solutions to validate business rules, detect anomalies, and trigger resolution workflows across cloud-based data lakes.
• Assessed and optimized pilot projects and cloud-native proof-of-concepts (e.g., Databricks Auto Loader, Delta Lake), resolving performance bottlenecks and recommending architecture improvements.
• Established best practices for cloud-based enterprise data solutions—covering pipeline orchestration, performance tuning, CI/CD integration, and cost-effective maintenance strategies.
• Built end-to-end BI dashboards with cloud-based tools (Power BI, Looker, or Databricks SQL) to track pipeline health, update latency, and storage optimization metrics.
• Collaborated with cloud architects and infrastructure teams to integrate diverse data sources into Azure Data Lake, GCP Big Query, and hybrid architectures using modern ingestion tools and cataloging systems.
• Provided production support and incident resolution in cloud environments, including Spark tuning, job reruns, failure diagnosis, and performance refactoring.
• Led cloud-based data acquisition and ingestion initiatives, developed quality assurance strategies, and contributed to data model governance in line with enterprise standards.
• Acted as a liaison with business teams to address cloud data pipeline challenges including data latency, schema drift, and change data capture (CDC) in real time.
• Collected business and system-level requirements and translated them into cloud data lake architecture, schema design, and scalable modeling solutions.
• Coordinated project teams spanning cloud engineers, data analysts, and reporting developers to deliver integrated solutions aligned with enterprise goals.
• Mentored junior team members on efficient Spark/PySpark coding, query optimization, and cloud-based pipeline performance monitoring and cost controls.
• Authored cloud-centric technical documentation, including schema diagrams, data flow charts, validation test plans, and infrastructure runbooks.

Data Analysis/SAS Programming Cert.                  Metro College          

Diploma. Software Development (Honors)            Red River College      

BSc. Mathematics/Statistics                                    University of Winnipeg