Akash Singh
Data Engineer @FreshBooks
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WORK HISTORY
Data Engineer @FreshBooks
Toronto, ON, CA
Designed and maintained scalable batch and real-time data pipelines using Spark, Hadoop, Hive, and Kafka to support high-volume analytics workloads•Implemented Azure-based data solutions (Data Factory, Databricks, Synapse, ADLS) enabling reliable and cost-efficient analytics•Built and managed enterprise data lakes and warehouses handling structured, semi-structured, and unstructured data•Automated ETL/ELT workflows using Apache Airflow, improving pipeline reliability and reducing manual effort•Optimized Spark and Hive queries through partitioning and tuning, significantly reducing execution time and compute cost•Implemented data validation, quality checks, and governance standards across analytics platforms•Created operational dashboards and reports using Power BI•Collaborated cross-functionally with engineering, finance, and marketing teams to deliver analytics-ready datasets
EDUCATION
Seneca Polytechnic
Business Information Technology , Information Technology
Guru Gobind Singh Indraprastha University (GGSIPU), Delhi
Bachelor's degree, Computer Science
ABOUT AKASH SINGH
I am a Data Engineer with 5+ years of experience designing, building, and optimizing scalable data pipelines and cloud-based data systems. I specialize in big data technologies like Hadoop, Spark, Hive, and Kafka, and have hands-on expertise across AWS, Azure, and GCP. My work enables reliable, high-performance data solutions that support analytics, business intelligence, and AI/ML initiatives.I have a strong background in ETL, data warehousing, and data modeling, implementing both Kimball and Inmon methodologies to build enterprise-grade data lakes and warehouses. I also design real-time streaming pipelines to deliver near-instant insights for critical business processes.I am proficient in Python, Scala, SQL, and Java, developing distributed applications for complex business use cases. I have automated ETL workflows with Apache Airflow and Talend, optimized Spark and SQL queries for performance, and implemented CI/CD pipelines using GitHub Actions, Jenkins, and Terraform.Passionate about data quality, governance, and compliance, I ensure data integrity, security, and reliability across all pipelines. I enjoy collaborating with cross-functional teams, supporting AI/ML initiatives, and delivering actionable insights that drive strategic decisions.
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