Hello, I'm

Salayhin

Tech Lead / Staff Data Engineer — Cloud-Native Data Platforms

I lead the architecture of large-scale data platforms, building near-real-time telemetry and analytics pipelines. I make platform-level decisions that balance performance, cost, reliability, and developer productivity across data, analytics.

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Md Sirajus Salayhin

About Me

My Journey in Data Engineering

I’m Tech Lead / Staff Data Engineer with 14+ years of experience owning and leading cloud-native data platforms. My focus is on platform architecture, technical standards, and decision-making for analytics, telemetry, and ML data systems at scale.

I specialize in lakehouse architectures, dbt-driven analytics, data governance, and FinOps, and I work closely with product, ML, and engineering teams to build platforms that are scalable, reliable, and cost-efficient. I also care deeply about mentorship and strong engineering practices.

My Resume

Tech Lead / Staff Data Engineer | Data Platform & Lakehouse Architect

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Experience

Staff Data Engineer

Zeals Co., Ltd

Tokyo, Japan Nov 2023 - Present
Current
Acted as primary technical decision-maker for the data platform, evaluating architectural trade-offs, tooling choices, and scalability constraints to balance performance, cost, and developer productivity.
Owned the technical vision and led the design and implementation of a modern data lakehouse and analytics platform, aligning data architecture with business and ML requirements.
Led architecture and design reviews for data pipelines and analytics workloads, ensuring consistency with platform standards, reliability requirements, and long-term scalability.
Led organization-wide adoption of dbt Core and dbt Cloud across multiple teams, defining standards and CI/CD workflows; improved data quality by ~30% and reduced pipeline maintenance effort by ~40% through automated testing and documentation.
Drove platform-wide BigQuery performance and cost optimization using system tables and billing exports, reducing query runtime by up to 90%, scan volume 80%, and monthly costs by ~40%.
Led the design of the gold layer using dimensional modeling (star schema), transforming raw events into optimized dim_ and fact_ tables, improving query performance by 70% and reducing scan volume by 80%.
Owned and drove the platform-wide data governance strategy, defining data contracts, quality standards, and SLAs across teams, resulting in a 25% improvement in data integrity and accuracy.
Owned the design and implementation of a GCP-wide utilization and cost governance framework using Asset Inventory, introducing automated alerts and rightsizing policies to improve resource efficiency and cost visibility across the platform.
Mentored junior engineers, driving a 20% uplift in technical proficiency and fostering a culture of continuous learning.
BigQuery dbt Core dbt Cloud Python Airflow

Senior Big Data Engineer

Zeals Co., Ltd

Tokyo, Japan Nov 2022 - Oct 2023
Implemented data governance using Google Dataplex, improving data management efficiency by 20% and ensuring compliance with internal and external standards
Deployed CI/CD pipelines with Terraform, automating data workflows, reducing manual intervention by 30%, and increasing infrastructure reliability
Designed and rolled out a FinOps pipeline using GCP billing exports, reducing infrastructure costs by 15% through proactive cost monitoring
Built a semantic analytics layer for a customer-facing dashboard, improving data access speed by 20% and enhancing overall user experience
Integrated BI tools (e.g., Tableau) with the Data Lakehouse Gold layer, enabling real-time insights and improving decision-making for business stakeholders by 25%
Dataplex Terraform GCP FinOps

Senior Data Engineer Level 2

Pathao Ltd

Dhaka, Bangladesh Jun 2018 - May 2021
Established a scalable analytics ecosystem using Google Dataproc, Google Dataflow, BigQuery, and Data Studio, increasing analytics capabilities by 40%
Spearheaded the development of a data lake and warehouse in Google Cloud Storage and BigQuery, reducing data retrieval times by 50%
Enhanced the data pipeline framework to handle over 1,000 attributes, boosting data processing efficiency by 35%
Designed and implemented a scheduled reporting framework on the data warehouse, generating 10+ financial and operational reports, improving team productivity by 70%
Dataproc BigQuery Dataflow Python

Senior Big Data Engineer (Remote)

Zeals Co., Ltd

Tokyo, Japan May 2021 - Oct 2022
Developed a robust data lakehouse architecture on GCP using BigQuery and Cloud Storage, improving data scalability and accessibility for internal stakeholders
Partnered with R&D and analytics teams to support ML model development and BI dashboarding, driving a 20% improvement in data-driven decision-making
Audited and remediated data storage systems in collaboration with the security team, strengthening data security protocols
BigQuery Cloud Storage GCP ML Pipelines

Senior Data Engineer

Augmedix Bangladesh Ltd.

Dhaka, Bangladesh Jun 2015 - Mar 2018
Served as a core contributor in designing and building a data warehouse using SQL Server 2016, improving business decision-making speed by 25%
Integrated a data pipeline framework to ingest data from 3rd-party APIs, Google Sheets, and MySQL, processing 100+ attributes and improving data efficiency by 30%
Developed a reporting framework for the data warehouse, generating 20+ operational reports and increasing stakeholder access to decision-ready data by 35%
Built backend services to serve millions of records from the warehouse, reducing data retrieval latency by 20%
SQL Server MySQL Data Pipeline APIs

Software Engineer

Nascenia Ltd

Dhaka, Bangladesh Jun 2013 - May 2015
Deployed a B2B marketplace platform for farmers using Ruby on Rails and MySQL, increasing seller participation by 30% and boosting transactions by 25%
Built a web-based tool for social media analytics and post scheduling with Ruby on Rails and PostgreSQL, improving engagement by 40%
Enhanced a school management system by extending core features using Ruby on Rails and PostgreSQL, improving system efficiency and reducing administrative workload by 35%
Ruby on Rails MySQL PostgreSQL Web Development

Software Engineer

Right Brain Solution Ltd

Dhaka, Bangladesh Nov 2011 - May 2013
Developed and deployed an API for social media mobile apps in collaboration with the dev team, increasing user engagement by 20%
Co-authored a high-traffic automotive portal for the Toronto Star, boosting monthly user visits by 35% and improving customer engagement
Built a multilingual B2C ski rental shop, increasing rentals by 20% and expanding the international customer base by 15%
Optimized an OMR reader for university online exams, reducing manual data entry time by 95% through improved input handling
API Development Web Applications Mobile Apps OMR Systems

Projects

Modern Data Lakehouse & Analytics Platform

Staff Data Engineer at Zeals Co., Ltd

Owned the architecture and rollout of a cloud-native lakehouse, improving data accessibility, governance, and decision-making across the organization.

GCP Cloud Composer Dataproc Pub/Sub BigQuery Apache Iceberg Apache Spark dbt Python Scala GitHub Actions
Internal Company Project

Dimensional Modeling & Gold Layer Engineering

Staff Data Engineer at Zeals Co., Ltd

Led the design of the Gold Layer with star-schema modeling, delivering business-ready fact and dimension tables that cut scan volume 80% and boosted query performance 70%.

BigQuery Cloud Composer dbt Core Dimensional Modeling Data Warehouse GitHub Actions
Internal Company Project

FinOps Cost Optimization Pipeline

Staff Data Engineer at Zeals Co., Ltd

Built a BigQuery and GCP Billing–based cost monitoring system, reducing monthly query costs by 40% and per-query costs by up to 95%.

GCP Billing BigQuery Cloud Monitoring
Internal Company Project

Data Governance & Quality Framework

Staff Data Engineer at Zeals Co., Ltd

Established dbt-driven data lineage, testing, and governance practices, improving data accuracy by 25% and boosting stakeholder trust.

dbt GCP Data Catalog Data Lineage Data Quality Data Contracts Cloud Asset Management Great Expectations
Internal Company Project

Skills & Technologies

Proficient
Intermediate
Exploring
Familiar

Programming & Scripting

Python SQL Scala Go Ruby PHP Bash

Data Processing & Management

Apache Spark Apache Flink Apache Kafka Apache Presto Apache Iceberg dbt Core

Database Technologies

PostgreSQL SQL Server MySQL DuckDB MongoDB

Cloud Platforms

BigQuery Dataproc Dataflow Cloud Composer Pub/Sub Cloud Storage Athena EMR DynamoDB S3 Lambda

Infrastructure & Automation

Docker Kubernetes Terraform GitHub Actions CI/CD

BI & Analytics

Tableau Google Data Studio Redash

Data Governance & Quality

Data Stewardship Data Cataloging dbt Lineage & Tests Great Expectations GDPR

FinOps & Cost Optimization

Query Tuning Partitioning & Clustering GCP Billing & Monitoring Anomaly Detection Cost Optimization

Certifications

Data Engineering with Google Cloud Specialization

Coursera

Google Cloud Training

2023

Comprehensive specialization covering data engineering fundamentals on Google Cloud Platform, including BigQuery, Dataflow, Cloud Storage, and data pipeline design patterns.

Verify Certificate

Data Engineering, Big Data, and Machine Learning on GCP Specialization

Coursera

Google Cloud Training

2023

Advanced specialization in big data and machine learning on Google Cloud Platform, covering Dataproc, Dataflow, BigQuery ML, and scalable data processing architectures.

Verify Certificate

Fundamentals of Agents

Hugging Face 🤗

Hugging Face Instructors

February 27, 2025

Successfully completed Unit 1: Foundations of Agents in the Hugging Face Agents Course, covering fundamental concepts of AI agents and their implementation.

View Certificate

Implement Multimodal Vector Search with BigQuery

Google Cloud Provider

Machine Learning & AI

April 20, 2025

Demonstrates skills in implementing multimodal vector search using BigQuery for advanced AI and machine learning applications with vector embeddings.

View Skill Badge

Get In Touch

Let's Work Together

I’m interested in opportunities where I can own and evolve data platforms, lead technical direction, and collaborate with teams building high-impact, data-driven products.

salayhin.lab@gmail.com
Tokyo, Japan

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