Uma Ala
Director, Data Engineering @Innover Digital
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WORK HISTORY
Director, Data Engineering @Innover Digital
Toronto, ON, CA
Oversees comprehensive data engineering functions encompassing data architecture design and implementation, modeling, storage and operations, data integration, quality assurance, governance, security, and metadata management within the D&I practice. Collaborates closely with C-suite executives to develop and execute data-driven strategies that align with and advance the organization’s goals and objectives.Technologies worked on: Cloud (Azure, AWS & GCP), Fabric, Databricks, Snowflake, dbt, Talend, SAP IQ, Tableau and Power BI Spearheaded team of data engineers responsible for developing and maintaining data pipelines, data warehouses, Business Intelligence, data governance anddata quality systems with in the D&I Practices. Defining data engineering best practices and standards and ensuring that data systems are scalable, reliable, and secure. And make sure that are followedacross the organization.
EDUCATION
Sidhartha Engineering College
Bachelor’s Degree
ABOUT UMA ALA
Strategic data and AI leader with 17+ years of experience driving innovation and growth through scalable data platform modernization and data-driven decision-making, Expert in architecting and managing end-to-end ETL pipelines, cloud-native data infrastructure, dimensional modeling, and enterprise-grade data governance across SaaS and high-growth environments. Proven track record of unifying cross-functional teams—including Data Engineering, Analytics and Business Insights—to translate complex business challenges into actionable insights that enhance acquisition, monetization, conversion, and retention. Adept at leading high-performing agile teams, mentoring leaders, and fostering a quality-first engineering culture centered on trust and collaboration.Technical Skills- Data Integration: SSIS & Informatica,Azure Data Factory(ADF)- Enterpriser Arc: Erwin & MS Visio - Data Visualization: Qlikview 11, MS Power BI, Tableau, MicroStrategy & Proclarity - BI Tools: SSRS, SSAS; Hyperion IR - Programming skills: C, C++, VB, Python and Joole - Databases: SQL, T or PL/SQL; Oracle 12 - Cloud Platform: Databricks, Snowflake; MS Azure - Big Data: Hadoop Analytics; Apache Spark tools - Project Management: Jira & Confluence - DevOps - CI/CD, GitHub - MS Azure Data Platform services: Azure Data Lake, Data Factory, Fabric, Synapse and SQL DW
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