Mimansa Bisen — Data Engineer

Here's what I am doing: I am working as a Data Engineer with TD bank, where I am a part of the Data Engineering team in TD Corporate. We are migrating a vast data from Canadian personal Banking legacy on-prem applications to Azure Cloud. I am a Computer Engineering graduate from University of Waterloo specializing in Artificial intelligence and Machine Learning. Here's what I can do: - Data Science using - Python, R, Scikit-Learn, Numpy, Pandas, Machine/Deep Learning packages - Data Engineering using - Pyspark, ETL, SQL, BI & Analytics , R, VBA MS Excel - Cloud Computing using - MS Azure, GCP, Docker, Kubernetes - Big data using - PySpark, Hadoop, Hive, Scala - Statistical Analysis using - R - Designing using - Adobe Photoshop I have worked with data and teams from different sectors, such as, Pharmaceutical, Engineering and Banking firm. This allows me to tailor the analysis which is personalized for the nature of data or industry that I am working with. Here's is what I learnt from every organization I have worked with: - TD taught me to give most optimum solutions which are simple enough for the team to work with and are efficient enough to get the job done in time giving the maximum accuracy. - Deloitte educated me to remain organized and calm while multitasking. It introduced me to the fast paced Agile work methodologies and tools. - Monsanto (now Bayer) instilled in me the importance of understanding the business and challenge first before diving into the solution straightaway. One Thing to know about me: I come from a creative background. I have been told that my ability to visualize what actually happens with the data, in every function I implement or every algorithm I harness, gives me a leverage to understand the process, right from shaping the problem statement to molding a solution for it. More about me: When not working with data, I am mostly found with clay and canvases or working with scrap materials trying to build something aesthetic and perceptive out of it. I love to stay clean and organized, hence I may or may not unknowingly clean your desk if you sit beside me in the office. How to contact me: I'd love to connect with you, so send me an invite or email me at bisenmimansa@gmail.com

Stackforce AI infers this person is a Data Engineer with expertise in Cloud Computing and Data Science.

Location: Greater Toronto Area, Canada

Experience: 1 yr 2 mos

Skills

Data Engineering
Data Modeling
Cloud Computing
Data Science
Machine Learning
Business Intelligence

Career Highlights

Expert in designing scalable data solutions.
Proficient in cloud migration and data engineering.
Strong background in machine learning and data science.

Work Experience

TD

Data Engineer II (1 yr)

Data Engineer (3 yrs 2 mos)

Data Engineer Intern (7 mos)

Correlation One

Data Science Fellow (DS4A / Women) (2 mos)

University of Waterloo

Data Researcher (1 yr 4 mos)

Deloitte India (Offices of the US)

Business Technology Analyst (1 yr 2 mos)

Monsanto Company

BI and Analytics Intern (2 mos)

Indian Institute of Management Raipur

Research Intern (1 mo)

Education

Master of Engineering - MEng at University of Waterloo

Bachelor of Technology (B.Tech.) at National Institute of Technology Raipur

Higher Secondary Schooling at Jawahar Navodaya Vidyalaya, Durg

Secondary School Certificate at Jawahar Navodaya Vidyalaya, Durg

Mimansa Bisen

Data Engineer

Greater Toronto Area, Canada1 yr 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in designing scalable data solutions.
Proficient in cloud migration and data engineering.
Strong background in machine learning and data science.

Stackforce AI infers this person is a Data Engineer with expertise in Cloud Computing and Data Science.

Contact

Skills

Core Skills

Data EngineeringData ModelingCloud ComputingData ScienceMachine LearningBusiness Intelligence

Other Skills

ETLdata pipelinesdata profilingdata governanceData lineageAzurePySparkSQLdata architectureHivedata preparationdata normalizationdata pipelinedata visualizationpredictive modeling

About

Experience

Td

3 roles

Data Engineer II

Promoted

Mar 2025 – Present · 1 yr · Toronto, Ontario, Canada

I specialize in designing and building scalable data solutions, ensuring data integrity, quality, and accessibility, while bridging the gap between business data needs and technical implementation.
Key Highlights:
Designed and developed robust ETL frameworks and data pipelines to support ingestion, transformation, and consumption of complex data sets.
Built and maintained advanced data models including entity-relationship diagrams and dimensional models, driving analytical and operational efficiency.
Conducted comprehensive data profiling and quality assessments, implementing validation rules to ensure data accuracy and compliance.
Managed and enriched metadata and maintained data lineage documentation to support governance and traceability across data assets.
Translated complex business data requirements into scalable technical solutions, aligned with enterprise data strategies and regulatory standards.
Collaborated with cross-functional teams to resolve data quality issues and support data-driven decision-making.
Led initiatives in data governance, data lifecycle management, and data retention policies, ensuring adherence to organizational and regulatory requirements.
Participated in and contributed to design reviews, change management processes, and release management activities for seamless delivery of data solutions.
Acted as a Subject Matter Expert for data design and data engineering best practices; mentored team members and promoted knowledge sharing.

ETLdata pipelinesdata modelingdata profilingdata governanceData Engineering+1

Data Engineer

Jan 2023 – Present · 3 yrs 2 mos · Toronto, Ontario, Canada

Developed complex Data lineage pipeline within Canadian Personal Banking's Data Marts, facilitating the seamless migration of over 3000 tables to Azure and AWS Cloud.
Analyzed legacy data systems (SAS, Cobol codes, SSIS Packages) in collaboration with Business SMEs to comprehend data flow intricacies and led cross-functional collaboration among BSAs, Developers, and Business teams to translate extensive requirements into optimized ETL pipelines leveraging JSONs, PySpark, Azure Cloud Databricks, Azure Data Factory.
Orchestrated Data Validation processes for 1500+ migrated ETLs, employing automated tests in PySpark to detect and rectify data flow inconsistencies.

Data lineageETLAzurePySparkSQLData Engineering+1

Data Engineer Intern

May 2022 – Dec 2022 · 7 mos · Toronto, Ontario, Canada

Planned migration Anti Money Laundering applications to Azure Cloud Platform by building data architecture using Azure services.
Developed Data Source to Target mapping templates, Ingestion and Outgoing data templates by analyzing functional and nonfunctional requirements and policies using Agile methods, showcasing meticulous attention to detail and effective time management abilities to meet project deadlines.
Environments: MS Azure, SQL, Hive, JIRA, MS-Excel

data architectureAzureSQLHiveCloud ComputingData Engineering

Correlation one

Data Science Fellow (DS4A / Women)

Sep 2021 – Nov 2021 · 2 mos · Toronto, Ontario, Canada

Worked as a fellow after getting shortlisted as top 5% in the pool of 6,000 data & ML professionals of leading firms.
Built data pipeline using the Boston 311 Service request Dataset containing more than 3 million rows and 29 columns to help Boston Municipality improve service quality, allocate resources efficiently using Python and R programming.
Visualized data to find pattern performance of various municipal departments over each neighborhood over 11 years.
Designed a predictive model using FBProphet, open-source time-series modeling package, to estimate request resolution date.

data pipelinedata visualizationpredictive modelingData ScienceData Engineering

University of waterloo

Data Researcher

Aug 2021 – Dec 2022 · 1 yr 4 mos · Waterloo, Ontario, Canada · Hybrid

Developed novel algorithms of data preparation for machine leaning by addressing missing values via approximation, noise reduction with smoothing techniques and Z-score for normalization.
Creating model using classification methods (Naïve Bayes, decision tree, random forest, XGBoost). Conducted hyperparameter tuning with k-fold cross-validation and GridSearchCV techniques. Addressed data imbalance for better performance.

data preparationmachine learningdata normalizationData ScienceMachine Learning

Deloitte india (offices of the us)

Business Technology Analyst

Aug 2019 – Oct 2020 · 1 yr 2 mos

Understanding business and providing technical services to Healthcare industry client.
Domain :- Analytics and Cognitive
Working with PySpark, R, PL/SQL and Excel to develop and test the ETL and Elastic-search functionalities, Tableau, Rshiny and Angular Dashboards.
Trained on Bigdata with Hadoop, Hive, Sqoop, Spark, Scala, Oracle and Java.
Got trained on Google Cloud Platform and Amazon Web Services.
Used GCP for migrating a legacy web application built on .NET Framework to Cloud using Agile tools and methods.
Tools and technologies in use: Google Cloud Platforms, Docker, Windows containers, Kubernetes, NFS, Volume Mounting.
Analyzed and changed code written in C# to make code ready to be migrated to cloud platform.

ETLBig Datacloud migrationData EngineeringCloud Computing

Monsanto company

BI and Analytics Intern

May 2018 – Jul 2018 · 2 mos

The project mainly involved various concepts and applications of Business Intelligence and Data Warehousing. I worked with data from multiple countries, hence in different languages, in the Asia Pacific region. We were building a database model to store the data, create routines using Oracle SQL developer to cleanse, transform and integrate this data. Data preparation also involves programming using VBA in MS Excel. We also worked on designing analytical models on this data using R based programming and visualisation.
Here’s a comment from my Team Lead at Monsanto,
"As part of her summer internship, Mimansa worked towards building a common data model for commercial operations for countries in Asia. The work involved studying data collected and used today by countries in south east Asia in excel files and recommending a common structured data model that can accommodate data across countries. For this work Mimansa understood the concepts of ‘entity modeling’ and relational data base design. She was quick to learn the concepts and apply to the project. For moving the data from the unstructured excel files to the database tables she developed VB based programs that make the work easy and repeatable. She also worked on providing some quick analysis on the quality of data using R.
Mimansa is a good team player and effectively connected with other people in the organization to get her project work done. She showed eagerness to learn new concepts/tools and apply it to the problem at hand. She was able to make good progress on the project and created a baseline data model that is useful for us to further build on.
I would like to appreciate your contribution to this project and wish you all the success in your academic and professional career ahead."

data modelingdata cleansingdata analysisBusiness IntelligenceData Engineering

Indian institute of management raipur

Research Intern

Dec 2017 – Jan 2018 · 1 mo

The project involved Web Scrapping, which was related to a research project, using R Selenium wherein we collected online reviews of mobiles from Amazon and Flipkart. It also involved some Data Analysis using MS Excel.

web scrapingdata analysis