Japan

Data Engineering

Data Scientist

B. Sc (Hons)

Sirajus Salayhin

Data Platform Architect | Staff Data Platform Engineer

Advanced data analytics

Business intelligence

Cloud computing

Database management

Apache Spark

Python

PostgreSQL

Airflow

Databricks

Pandas

REST API

MongoDB

Kafka

Jupyter Notebook

Leadership

Analytical skills

Design systems

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- Led a team in creating advanced data solutions including data lakehouses and analytics products.

- Optimized BigQuery queries, reducing processing time by 30%, scanning volume by 15%, and lowering costs by 10%.

- Spearheaded best practices in data governance and quality assurance, ensuring data integrity and accuracy throughout the organization.

- Mentored team members, fostering a culture of continuous learning and professional development
Collaborated with cross-functional teams to align data engineering efforts with business objectives and strategic goals.

- Facilitate communication and collaboration between data engineering, data science, and product teams to streamline workflows and drive innovation.

- Developed and implemented data security protocols to protect sensitive information and ensure compliance with regulatory requirements.

- Implemented Data Governance using Google Dataplex for improved data management and compliance.

- Deployed CI/CD to automate data engineering pipelines, and streamline data management and infrastructure for enhanced efficiency and reliability.

- Designed and deployed the FinOps pipeline, optimizing financial operations and achieving a 15% reduction in infrastructure costs organization-wide.

- Implemented Symentic Analytics layer for a customer-focused dashboard

- Integrated BI tool on top of Data Lakehouse Gold layer

- Developed a robust Data Lakehouse on the Google Cloud Platform (GCP).

- Designed and deployed an end-to-end Data Platform on GCP, ensuring seamless data integration and processing.

- Collaborated with R&D and Analytics teams to construct Machine Learning (ML) models and Business Intelligence (BI) dashboards.

- Worked closely with the security team to audit various data storage systems.

- Established a data ecosystem (ingest, storage, and visualization) for analytics.

- Spearheaded the development of Data Lake and Data Warehouse in Google Cloud Storage and Google BigQuery, enabling stakeholders to analyze business metrics and make valuable decisions.

- Improved the Data Pipeline framework, primarily used for data collection from various sources and transformed over 1000 attributes into the Data Lake and Data Warehouse.

- Collaborated with the team to develop a real-time data pipeline using Google Pub/Sub, allowing stakeholders to monitor vehicle supply for the market in real time.

- Authored a reporting framework that runs periodically on the Data Warehouse, preparing more than 10 financial and operational reports for stakeholders, resulting in a 70% increase in team productivity.

- Designed and implemented data models for different business verticals (rides, foods, couriers, etc.), facilitating stakeholder understanding of business metrics through a single dashboard.

- Executed the development of a data pipeline monitoring framework to ensure data integrity and quality, reporting any issues to stakeholders.

- Maintained Data Pipelines for the Data Lake and Data Warehouse, including an integrated monitoring dashboard for stakeholders.

- Implemented a data access control policy for Pathao, enhancing data security within the organization and preventing data breaches from the data warehouse.

- Actively participated in incidents and guided different teams in data recovery efforts in the event of data loss.

- Spearheaded​ Data Lake and Data Warehouse in Google Cloud Storage and Google Big Query for stakeholders to break down business measurements and make valuable business decisions.

- Authored ​a reporting framework that runs periodically on Data Warehouse and prepares more than 10 financial and operational reports for stakeholders, which increased team productivity by 70%

- Design & Implemented data models for different business verticals (rides, foods, couriers, etc) which guides stakeholders to understand the business matrix in a single dashboard.

- Executed development of ​a data pipeline monitoring framework to check data integrity and data quality, which reports to stakeholders if any data quality breaks.

- Maintained Data Pipelines for Data Lake and Data Warehouse, which includes an integrated monitoring dashboard for stakeholders.

- Supervised database administration for troubleshooting architectural design with existing data warehouse and data integration pipelines, which involved terabytes of data migration, replication, log shipping, and database backup.

- Core contributor to building a Data Lake and Data Warehouse in S3 and SQL Server 2016 for stakeholders to analyze business metrics and make informed business decisions.

- Integrated a Data Pipeline framework primarily used for data collection from various sources, including 3rd Party APIs, Google Spreadsheets, and MySQL, and processed over 100 attributes into the Data Lake and Data Warehouse.

- Coordinated with the team to build a reporting framework that runs periodically on the Data Warehouse and prepares more than 20 operational reports for stakeholders.

- Coded the development of backend services for different stakeholders that served millions of records from data warehouses.

- Deployed a B2B marketplace application with multiple sellers and buyers for farmers, offering the most unique, specialty foods from around the country (using Ruby on Rails and MySQL).

- Launched a web-based tool for social media data analysis and scheduled social media posts (using Ruby on Rails and PostgreSQL).

- Extended the functionality of a web-based school management system software to efficiently manage students, teachers, employees, courses, and all systems related to the school (using Ruby on Rails and PostgreSQL).

- Core maintainers of CI/CD pipelines and Cloud Infrastructure in AWS, resulting in an 80% increase in development efficiency.

- Collaborated with the development team to build an API for social media mobile applications.

- Co-authored one of the largest auto sites in Canada owned by the Toronto Star.

- Programmed the development of a B2C multilingual rental shop where customers could rent ski items from different shop owners.

- Enhanced an OMR reader for university online exams, reducing manual time by up to 95%.

- Simplified a web-based appointment system where users can easily manage their daily schedule and share with others.

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