Kavya Muralidharan
Data Engineer Ii @TD
Signup · Get unlimited contacts
WORK HISTORY
Data Engineer Ii @TD
Toronto, ON, CA
Owned and scaled core CRM data pipelines with Apache Airflow, integrating 12+ APIs (Salesforce, transaction systems) to deliver real-time banking KPIs (customer retention, loan trends) for executive reporting- Resolved treasury pipeline downtime via automated replay workflows (Azure Databricks), achieving 100% SLA compliance- Optimized ETL pipelines for a $2.9B e-commerce project using Spark SQL and Python, reducing transformation latency by 27% and enabling 15% YoY revenue growth- Led migration of legacy systems to Azure Data Lake, designing partitioned Parquet storage layers to improve regulatory audit-readiness and analytics performance- Optimized data pipelines using Apache Spark, HDFS, and Parquet for 100+ sources, reducing batch processing by 27% and driving a 45% increase in revenue through improved analytics availability- Implemented data quality checks for pipelines, using Python to automate schema validation for evolving schemas, preventing ingestion failures and reducing bad data propagation by 40%- Slashed incident resolution time by 60% via Datadog dashboards with automated Airflow/DAG failure alerts- Collaborated with cross-functional data science and analytics, compliance, and product teams to evolve data models and schemas in response to dynamic business needs, ensuring scalable, future-proof data solutions.
EDUCATION
University of Waterloo
Master's degree, Management Engineering and Data Science
National Institute of Technology, Tiruchirappalli
Bachelor of Technology, Electronic and Communications Engineering
Indian School Sohar
Class 12, Science Stream
ABOUT KAVYA MURALIDHARAN
As a passionate and dedicated Data Engineer, I thrive on transforming raw data into valuable insights that drive business growth. With over three years of experience in designing, building, and optimizing data pipelines, I specialize in leveraging cloud infrastructure (AWS & Azure) and big data technologies to create scalable, efficient solutions.I am proficient in Python, SQL, and Java, and have hands-on experience with tools like Apache Spark, Hadoop, Kafka, and Airflow. My expertise extends to developing ETL processes, data warehousing, and real-time data processing, ensuring data integrity and accessibility for cross-functional teams.I am driven by a curiosity to explore new technologies and a commitment to continuous learning. At TD Bank Group, I improved data retrieval times by 27%, contributing to a 45% revenue increase. My work at Boomerang.ai and Renesas Electronics involved developing advanced machine learning models and deploying them on cloud platforms.Excited about the future of data engineering, I am always looking for opportunities to innovate and make a positive impact through data-driven solutions.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.