Manisha Sankalamaddi
Results-driven Data Analyst and Engineer with 3+ years of experience designing scalable data pipelines, dashboards, and analytics frameworks. Transforming complex datasets into actionable insights using cloud technologies and AI/ML tools.
Key Projects & Achievements
Automated ETL Pipelines
Built and maintained scalable ETL pipelines integrating multi-source data into Snowflake and Power BI models, improving reporting efficiency by 45%.
AWS Data Architecture
Designed and deployed AWS-based ETL workflows for HR and operations data, automating manual reporting tasks and implementing incremental load logic.
GCP BigQuery Analytics
Built scalable data pipelines on GCP BigQuery and Dataproc, developed predictive models for business forecasting using Python and SQL.
AI-Driven Analytics
Deployed AI-assisted scripts for data quality checks and predictive insights using OpenAI and Gemini APIs, ensuring 99% data integrity.
Technical Expertise
Programming & Analytics
Python (Pandas, NumPy, PySpark), SQL, DAX, VBA, Shell Scripting, Scikit-learn, Data Wrangling, Automation
BI & Visualization Tools
Power BI, Tableau, Looker, Google Data Studio, Microsoft Excel (Pivot Tables, Power Query, Macros), Interactive Dashboards
Data Engineering
dbt, Airflow, Azure Data Factory, ETL/ELT Pipelines, API Integration, Data Modeling, Performance Optimization
Cloud & Databases
AWS (Glue, Redshift, S3), GCP (BigQuery, Dataproc), Azure Synapse, Snowflake, PostgreSQL, MySQL
Professional Experience
Data Analyst & Engineer — Integrated Proteins
- Built and maintained automated ETL pipelines integrating multi-source data into Snowflake, Excel, and Power BI models for real-time analytics
- Developed KPI dashboards and Excel-based performance scorecards that unified operations, finance, and logistics data, improving reporting efficiency by 45%
- Leveraged Excel Pivot Tables, VBA Macros, and Power Query for ad hoc analysis, automation, and management reporting
- Engineered and optimized SQL queries and transformations to support high-volume analytics workloads
- Implemented data validation and audit frameworks ensuring 99% data integrity across ingestion and transformation layers
- Deployed AI-assisted scripts for data quality checks and predictive insights using OpenAI and Gemini APIs
Data Analyst — Sodexo
- Designed and deployed AWS-based ETL workflows for HR and operations data, automating manual reporting tasks
- Built Power BI dashboards to monitor performance metrics and optimize workforce productivity
- Partnered with data engineering teams to establish unified schemas and data catalogs for consistent reporting
- Integrated API data sources into Redshift and implemented incremental load logic improving refresh speed by 30%
- Collaborated cross-functionally with HR and finance to align analytics with strategic KPIs and cost efficiency goals
Data Engineer — RSoft Systems & Services Pvt. Ltd.
- Built and maintained scalable data pipelines on GCP BigQuery and Dataproc, enabling faster analytics and data processing
- Developed predictive data models for business forecasting using Python and SQL
- Automated ingestion of structured and semi-structured data using PySpark and API integrations
- Partnered with analytics teams to visualize KPIs in Tableau, improving business transparency
- Enhanced data warehouse performance by optimizing partitioning and clustering logic
Education & Certifications
Master's in Computer Science — University of Missouri–Kansas City
Professional Certifications
- Microsoft Certified: Power BI Data Analyst Associate (PL-300)
- Google Cloud Certified: Professional Data Engineer
- AWS Certified Data Engineer – Associate
- Coursera: Data Engineering on Google Cloud
- Udemy: Advanced SQL for Data Analytics & Engineering