Darshini Priya Email & Phone Number

Bengaluru, Ka, In

Bengaluru, Karnataka, India

Bangalore Urban, Karnataka, India

1. Data Integration: Integrate data from various sources into a unified format suitable for analysis. Use Excel and Python Pandas to clean, transform, and preprocess data as needed.2. Database Management: Design and maintain databases, ensuring data integrity, availability, and security. 3. ETL (Extract, Transform, Load): Develop and maintain ETL processes to move datafrom source to data warehouse.4. Statistical Analysis: Perform basic statistical analysis using Excel, including calculating means, medians, standard deviations, and correlations.5. Data Visualization: Create charts, graphs, and dashboards in Excel and Power BI to effectively communicate findings to stakeholders.6. Data Interpretation: Transformations of complex data sets into understandable and actionable insights for non-technical stakeholders.7. Collaboration: Collaborate with Data Analysts to understand data requirements and assist in preparing data for analysis in Excel.8. Business Alignment: Understand business objectives and use Excel and Python to support decision-making processes through data-driven insights.

Bengaluru, Karnataka, India

1. Data Collection: Gather and extract data from various sources, including databases, and external systems.2. Data Transformation: Clean, preprocess, and transform raw data into a structured format suitable for analysis and modeling.3. Data Integration: Integrate and consolidate data from multiple sources, ensuring data consistency and accuracy.4. Database Design: Design, create, and maintain databases optimized for data storage and retrieval, considering performance and scalability requirements.5. ETL (Extract, Transform, Load) Processes: Develop and manage ETL pipelines to efficiently extract, transform, and load data into the data warehouse or other target systems.6. Data Modeling: Design and implement data models to support analytics and reporting needs, ensuring data integrity and efficient querying.7. Collaboration: Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions that meet their needs.8. Documentation: Document data engineering processes, data flows, and technical specifications to facilitate knowledge sharing and ensure system maintainability.