Tanisha Mohite
Data Engineer @Community Dreams Foundation
Signup · Get unlimited contacts
WORK HISTORY
Data Engineer @Community Dreams Foundation
US
Supporting development of data pipelines and structured datasets on Azure for analytics and reporting use cases.2. Analyzed unstructured and inconsistent datasets, transforming them into structured reporting models to improveusability for business stakeholders.3. Assisting in building logical and physical data models to improve reporting efficiency and usability.4. Integrating and validating internal and external data sources to ensure data consistency, accuracy, and alignment withdata governance standards.5. Preparing structured datasets and Power BI-ready reports using SQL to support leadership decision-making and business reporting requests.
EDUCATION
Narayana Junior College - India
Science
Jawaharlal Nehru Technological University
Bachelor of Technology, Computer Engineering
University of Central Missouri
Master's degree, Big Data Analytics and IT
JNTUH College of Engineering Hyderabad
Bachelor of Technology - BTech, Computer Science Engineering
ABOUT TANISHA MOHITE
I’m a Data Engineer with 4+ years of experience designing and supporting analytics-ready data pipelines, warehouses, and reporting solutions in regulated and compliance-driven environments.My work focuses on turning raw, multi-source data into trusted, well-governed datasets that business and analytics teams can rely on for decision-making. I specialize in SQL-driven transformations, cloud data platforms, and data validation, ensuring accuracy, consistency, and audit readiness across the data lifecycle.I’ve built and maintained scalable ETL pipelines using Databricks, PySpark, and Spark SQL, integrated data from cloud data lakes and relational sources, and applied best practices around data modeling, schema enforcement, and performance optimization. I also support analytics and visualization teams by delivering clean, reliable data for Power BI and Tableau dashboards.I enjoy working closely with business, compliance, and technical stakeholders to translate reporting needs into scalable data solutions, and I’m known for clear documentation, strong ownership, and attention to data quality.Core strengths:• Data Engineering & Analytics Pipelines• SQL, Databricks, PySpark, Spark SQL• Azure, AWS, Data Lakes & Warehouses• Data Modeling, Validation & Governance• Power BI, Tableau & Executive ReportingCurrently open to Data Engineer, Analytics Engineer, and BI-focused roles where data quality, governance, and business impact matter.Open to relocation and remote opportunities across the U.S.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.