08/19/2026 updated
100 % available
Analytics Engineer | Data Pipeline Specialist | BI Developer
Jodhpur, India
Only remote
B.Tech in Electronics & Communication EngineeringAI AgentsData AnalysisAutomationBusiness Intelligence DevelopmentData TransformationData ProfilingPython (Programming Language)Microsoft Power BISQL DatabasesData Analytics
SQL & Python for Data Engineering
Proficiency in SQL (window functions, CTEs, complex joins) and Python for building end-to-end data pipelines, processing millions of records, and enabling advanced analytics across cloud and on-premise platforms.
Power BI & BI Visualisation
Expertise in designing and delivering Power BI dashboards and reporting suites, including automated ETL pipelines, MIS dashboards, and interactive visualisations using Looker Studio, Microsoft Fabric, and Tableau.
Google Apps Script & Automation
Development of automated ingestion-to-dashboard pipelines using Google Apps Script, including email parsing with Gemini API, auto-appending to Google Sheets, and feeding live Looker Studio dashboards.
Machine Learning & Predictive Modelling
Application of machine learning techniques using scikit-learn and pandas to build predictive dropout models and analyse large datasets, achieving measurable improvements in completion rates and churn reduction.
Microsoft Fabric & Excel Advanced
Design of Work Order tracking dashboards in Microsoft Fabric and advanced Excel MIS dashboards for centralising project progress, labour productivity, and material data across multiple sites.
Docker & Containerisation
Containerisation of full Airflow environments using Docker Compose (PostgreSQL metadata DB, Scheduler, Webserver), enabling reproducible and scalable pipeline deployment applicable to enterprise analytics stacks.
DAX, Power Query & Data Modelling
Use of DAX and Power Query for data transformation and modelling within Power BI, supporting reusable dashboard development and actionable business reporting.
Experience
Professional experience0 - 5 years
Freelancer since2024
Languages
EnglishFluent
Project history
Engineered end-to-end data ingestion pipelines using Apps Script and the Gemini API; built Power BI and Excel MIS dashboards for 7+ sites; designed Work Order tracking dashboards in Microsoft Fabric; and identified critical financial risks by flagging payment-versus-work-completion discrepancies.
Architected Power BI reporting suites for 3+ clients with automated ETL pipelines, processed 5.2M+ Medicaid drug records in Snowflake using advanced SQL, and built cloud data pipelines (AWS S3 to Amazon Athena to Power BI) reducing data retrieval latency by 50%.
Analysed 100K+ student engagement records to inform adaptive module redesign, increasing completion rates by 12%. Built predictive dropout models at 75%+ accuracy, enabling targeted interventions that reduced churn by 18% among at-risk students.
Certificates
IBM Data Science and Advanced AI
IBM2024