Summary
Overview
Work History
Education
Skills
Websites
Accomplishments
Certification
Technical Tools
Languages
Timeline
Generic

KALPANA GOPALASWAMY

Kitchener

Summary

Data Engineering & BI professional with 5+ years of experience designing scalable ETL/ELT pipelines, cloud-based data architectures, and analytics-ready data assets using PySpark, SQL, Azure Databricks, and visualization platforms. Adept at implementing data quality frameworks, building metadata-driven models, and collaborating with cross-functional teams including data science, product, and business leaders. MBET graduate with foundational AI/ML knowledge and strong critical thinking skills. Experience delivering portfolio performance insights applicable to P&C insurance analytics and enterprise financial reporting. Strong financial services analytics experience with transferable skills for P&C insurance portfolio reporting.

Overview

6
6
years of professional experience
1
1
Certification

Work History

Data Scientist

TD Bank
09.2024 - Current
  • Designed and maintained enterprise dashboards in Tableau, Power BI from Hyperion, HMT, OAS/OAC/OBI integrating financial data for executive insight.
  • Developed ETL dataflows with PySpark in Azure Databricks to automate data ingestion and improve processing efficiency by 100%.
  • Partnered with Finance and Risk stakeholders to gather requirements and deliver dashboards aligned with data governance standards.
  • Managed Tableau and Power BI access controls and security provisioning ensuring compliance with enterprise data management policies.
  • Coordinated teams and led Hybrid sprints to deliver BI enhancements within tight timelines.
  • Proactively monitored portfolio performance trends, investigating positive and negative variances to support leadership decision-making.
  • Delivered executive-level insights through data storytelling and business contextualization of technical outputs.
  • Acted as technical business owner for BI initiatives, ensuring solutions met stakeholder requirements.

Data Engineer/BI Reporting Analyst

TD Bank
06.2022 - 08.2024
  • Designed and automated enterprise Tableau dashboards for Corporate Expense and FTE reporting used by 3,000+ users.
  • Facilitated requirement workshops with finance stakeholders to define KPIs, performance measures, and dashboard layouts, ensuring alignment with business needs and visualization best practices.
  • Partnered with data and IT teams to migrate reporting pipelines from Hadoop systems to Azure Databricks, improving scalability and enabling future integration with Enterprise Data Lake.
  • Developed data models linking finance, service and vendor data to enable MTD/QTD/YTD performance tracking.
  • Developed an automated Tableau dashboard for North American cost center users, enabling monthly and annual analysis of expense transactions through hierarchical KPI tracking, trend visuals, and summary views.
  • Designed enterprise KPI frameworks to track corporate performance and operational efficiency.
  • Built curated data assets (OBTs) using SQL and PySpark to support downstream analytics consumption.
  • Led requirements gathering workshops with business stakeholders to define metrics and success criteria.
  • Performed data reconciliation across multiple finance systems to ensure reporting accuracy.

Data Analyst

TD Bank
10.2021 - 04.2022
  • Delivered regulatory and operational reports from OEBS and Excel automation supporting month-end closing.
  • Identified operational problems and escalated issues when needed to management.
  • Enhanced reporting processes and validation framework reducing SLA violations by 20%.
  • Evaluated programs, corrected errors and made necessary modifications in Host systems.
  • Collaborated with teams to prioritize data maintenance defects and process improvements.

Data Analyst

Instacart
04.2020 - 08.2021
  • Developed SQL insights supporting dynamic pricing algorithms and customer segmentation.
  • Automated KPI dashboards in Tableau and Python (Pandas) for real-time product and operations tracking.
  • Constructed and published periodic reports, as well as any necessary and hoc reports.
  • Implemented ETL validation and data reconciliation for high volume transaction datasets.
  • Performed Data analysis, data quality, data governance and data profiling on complex data sources to identify any anomalies that may exist.

Education

Master of Business, Entrepreneurship & Technology - MBET

University of Waterloo
Waterloo
01.2024

Insurance regulatory knowledge and client advisory fundamentals - undefined

Registered Insurance Brokers of Ontario (RIBO)
01.2021

Advanced Diploma - Data Science & Applications

Metro College of Technology
Toronto
01.2019

B.E. (Hons.) - Electronics & Instrumentation Engineering

BITS Pilani, Dubai Campus
01.2008

Skills

  • Data Engineering: PySpark, SQL, Delta Lake, ETL/ELT Automation, Azure Databricks
  • Cloud Platforms: Azure (ADLS, Synapse), CI/CD Deployment
  • Data Architecture: Structured & Semi-structured Data, Data Modeling, Data Integration, Data Transformation, Governance, Metadata
  • Data Quality: Validation, Profiling, Reconciliation, Audit Frameworks
  • Analytics Enablement: Power BI, Tableau, Oracle Analytics, Alteryx, Excel Analytics, KPI Tracking & Portfolio Monitoring, Executive Reporting & Data Storytelling
  • ML Foundations: Python, Pandas, Scikit-learn, MLlib
  • GenAI Tools: ChatGPT, Microsoft Copilot
  • Project Management: Agile and Traditional Frameworks, JIRA, Confluence, SharePoint
  • Soft Skills: Business Requirement Elicitation, Stakeholder Management, Facilitation, Cross-Functional Collaboration, Analytical Thinking, Leadership, Problem Solving, Adaptability, Strategic Decision Support
  • Azure (Databricks, ADLS, Synapse)
  • PySpark
  • SQL
  • Hive
  • Impala
  • Power BI
  • Tableau
  • Alteryx
  • Power Pivot
  • Power Query
  • Power Apps
  • GitHub
  • APIs

Websites

Accomplishments

  • Engineered PySpark and Azure Databricks pipelines reduced manual work by 80%.
  • Built BI dashboards featured in Viz competitions for innovation and data storytelling.
  • Key contributor in TD's migration from on-prem Hadoop to Azure using CI/CD.
  • Strengthened data accuracy through automated validation and reconciliation frameworks.
  • Delivered portfolio performance dashboards enabling leadership to track trends, risks, and opportunities.

Certification

  • Tableau Desktop Specialist
  • Power BI Data Analyst Associate (in progress)
  • RIBO License

Technical Tools

  • Azure (Databricks, ADLS, Synapse)
  • PySpark
  • SQL
  • Hive
  • Impala
  • Power BI
  • Tableau
  • Alteryx
  • Power Pivot
  • Power Query
  • Power Apps
  • GitHub
  • APIs

Languages

Tamil
Native or Bilingual
English
Full Professional
Hindi
Professional Working
French
Elementary

Timeline

Data Scientist

TD Bank
09.2024 - Current

Data Engineer/BI Reporting Analyst

TD Bank
06.2022 - 08.2024

Data Analyst

TD Bank
10.2021 - 04.2022

Data Analyst

Instacart
04.2020 - 08.2021

Insurance regulatory knowledge and client advisory fundamentals - undefined

Registered Insurance Brokers of Ontario (RIBO)

Advanced Diploma - Data Science & Applications

Metro College of Technology

B.E. (Hons.) - Electronics & Instrumentation Engineering

BITS Pilani, Dubai Campus

Master of Business, Entrepreneurship & Technology - MBET

University of Waterloo
KALPANA GOPALASWAMY