Open to opportunities

Ismail Yunus

@ismailyunus

I’m a seasoned Data Engineer building scalable lakehouse platforms, governed ETL/ELT pipelines, and analytics-ready datasets.

Canada

Message

What I'm looking for

I want to design and govern production-grade data lakehouse platforms and ETL/ELT pipelines in Azure, partnering with data scientists and stakeholders to deliver reliable, self-service analytics with strong data quality and performance.

I’m a seasoned Data Engineer with 10+ years of experience designing, building, and maintaining scalable data platforms across enterprise environments. I architect data lakes, data warehouses, and production-grade ETL/ELT pipelines using Apache Spark, Databricks, Delta Lake, and cloud services in the Azure ecosystem.

I’ve delivered end-to-end solutions that include data governance, quality frameworks, and metadata management to support advanced analytics, optimization models, and machine learning pipelines. I collaborate closely with data scientists, analysts, and business stakeholders to translate requirements into performant, well-documented data solutions—while focusing on reliability, performance, and continuous improvement.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer / Cloud Data Consultant

Current

Alphadot

Oct 2025 - Present (9 months)

Delivered end-to-end data engineering solutions for enterprise clients using Databricks, Snowflake, and cloud services. Architected a production-grade Databricks lakehouse with Medallion layers, implemented CDC and Unity Catalog governance, and improved pipeline reliability and performance (40% faster batch processing, 99.5% reliability, 30% faster queries, 25% better data accuracy, 35% fewer ad-h

Databricks Snowflake Delta Lake Azure Data Factory Pyspark Medallion Architecture Unity Catalog Apache Airflow Azure Blob Storage Data Governance Data Lineage Z Ordering

Current

Jira Platform Engineer

Current

Seaspan ULC

Oct 2025 - Present (9 months)

Led technical architecture, automation, and integration strategy for Seaspan’s enterprise Atlassian ecosystem. Served as the primary SME for Jira Software, Jira Service Management, and Confluence, building Python-based REST API integrations and Jira integrations to improve governance and automate data exchange.

Atlassian Cloud Jira Service Management Confluence Python REST APIs JSON Data Integration Workflow Engineering

Data Analyst | Data Developer

Trans Mountain Pipeline

Jan 2022 - Sep 2025 (3 years 8 months)

Provided technical leadership migrating legacy data systems to a third-party application (Borealis), establishing data governance standards and improving performance. Built Azure data engineering solutions with ADF, Databricks, and Synapse, developed Python REST API automation, and managed SSIS-based ETL plus data migration projects while mentoring a team of four.

Python REST APIs Azure Databricks Azure Synapse Azure Blob Storage SQL SSIS Data Governance Data Lake Data Warehouse Data Migration Business Rules Root Cause Analysis

Senior Business Intelligence Developer

SoftMark Technologies Inc.

Sep 2018 - Dec 2021 (3 years 3 months)

Led ETL automation and data quality initiatives across billions of rows, reducing manual workload by 29% monthly through pipeline optimization. Built Power BI reports and dashboards, designed dimensional models and SQL documentation, implemented SSIS/ADF pipelines, and applied Azure monitoring and governance controls (including masking/encryption and Azure Key Vault/Security Center).

Power BI SQL Server Dimensional Modeling (Star And Snowflake Schemas)SQL Server Database Diagrams SSIS Azure DevOps GitHub PowerShell azure monitor Log Analytics Application Insights Azure Key Vault Azure Security Center Data Masking Encryption Auditing Backup And Recovery Data Governance Data Quality

Data Analyst

Venture Garden Group (Garden Data)

Aug 2015 - Aug 2018 (3 years)

Managed the Vice President’s Operations Command Centre for the economic and power sector dashboard and helped plan BI strategy, roadmaps, and budgets. Led a team of four, built SQL/Python data pipelines, and improved analytics speed and efficiency through SSIS and ADF automation (15% faster analysis; 10% efficiency gains; 50% reduction in data processing time).

SQL Python SSIS Excel Power Pivot Data Pipeline Development Data Cleaning Data Validation Tableau Power BI Data Visualization Matplotlib SeaBorn

Business Intelligence Analyst

NQLB

Jan 2014 - Jul 2015 (1 year 6 months)

Worked with cross-functional teams to plan and deliver BI projects, structuring problems, extracting data sources, and developing integrated information delivery solutions. Performed cleansing, deduplication, and harmonization, trained junior analysts using Excel and Power Pivot (20% data quality improvement), and supported payment analytics and performance monitoring.

Excel Power Pivot Data Cleanse And Deduplication Data Harmonization