Rajesh Kumar Mishra
Senior AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Analyst with 10+ years in Tableau, Python, SQL & Cloud Platforms
Seasoned Data Analyst and Tableau Developer with over 7+ years of experience in data science, business intelligence, and full-cycle analytics solutions and Total 16 years exp in IT. Demonstrated expertise in Tableau, Python, SQL, and cloud platforms (Azure, AWS) with a strong track record of managing large-scale projects in the coal mining, road construction, and banking sectors. Proven ability to overcome complex data challenges, implement robust ETL pipelines, and translate business needs into actionable insights through impactful dashboards and statistical models. Adept at stakeholder engagement, team leadership, and continuous upskilling through professional certifications.
Woolf University
MS · AI/ML
August 1, 2025 – June 30, 2025
IIITB
Post Graduate Diploma · Data Science
August 1, 2019 – June 30, 2019
Utkal University,Bhubaneswar
Master · IT
August 1, 2009 – June 30, 2009
Visva-Bharati
Bachelor · Information Technology
August 1, 2005 – June 30, 2005
Syntax BAPL Ltd
Senior Manager – Data Analyst
December 1, 2024 – Present
Ahmedabad, Gujarat, India
Rodic Consultants Pvt. Ltd
Senior Manager –Senior Data Analyst
July 1, 2023 – November 1, 2024
India
Elome Technologies Pvt . Ltd.
Senior Software Engineer / Deputy Manager – Data Analyst
April 1, 2011 – June 1, 2023
Gurgaon, Haryana, India
Shell Infotech Sdn Bhd
Senior Software Engineer
November 1, 2009 – December 1, 2010
Kuala Lumpur, Kuala Lumpur, Malaysia
Unified Data Lakehouse for Infrastructure Analytics (Databricks, Microsoft Fabric, Tableau)
June 24, 2026 – Present
Built a lakehouse solution on Azure Databricks and Microsoft Fabric to consolidate road quality, inspection, and budget data from 20+ state agencies. Developed Lakehouse ETL using PySpark notebooks and Delta Live Tables, reducing processing time by 45%. Connected Tableau to Fabric OneLake for near real-time infrastructure reporting.
End-to-End Tableau Governance with Tableau Service
June 24, 2026 – Present
Set up complete CI/CD deployment for Tableau assets using deployment pipelines. Standardized workspace structures, user roles, and dataset certification using Tableau Admin Portal. Led training for 50+ users on Tableau service best practices and Microsoft Fabric transition.
Python Microservices Architecture
June 24, 2026 – Present
Achieved 40% cost savings through Kubernetes-based resource optimization.
Tableau Service – Centralized Dashboard Deployment
June 24, 2026 – Present
Deployed 12+ Tableau reports using Tableau Service, enabling role-level security and version control. Scheduled data refreshes and configured alert-driven dashboards for executive teams, reducing manual follow-ups by 60%. Implemented audit logs and lineage tracking to support governance requirements.
Databricks & SQL-Based Data Quality Pipeline
June 24, 2026 – Present
Created a reusable data quality framework in Azure Databricks to validate over 1 TB of road performance data. Designed rule-based validation in SQL with error logging for seamless data cleansing before visualization. Improved data trust scores by 35% through automated anomaly detection.
Fabric Dataflow Gen2 + Tableau Integration
June 24, 2026 – Present
Designed enterprise-grade dataflows using Fabric Dataflow Gen2, extracting data from multiple relational and non-relational sources. Enhanced performance by creating DirectLake datasets for Tableau semantic models. Reduced Tableau report loading times by 50% and enabled multi-tenant reporting.
Python-Powered Predictive Dashboard for Road Repairs
June 24, 2026 – Present
Developed predictive analytics using Python (scikit-learn) to forecast road wear and tear based on traffic and weather patterns. Integrated with Tableau using Python visuals to present forecasted repair zones and budget estimations. Enabled proactive maintenance planning, saving ₹20 lakh annually in avoidable repairs.
Coal Mining Production Dashboard
June 24, 2026 – Present
Delivered real-time production metrics, optimizing machinery usage and safety compliance.
Safety Metrics & Operational Efficiency Reports
June 24, 2026 – Present
Informed strategic decisions and improved stakeholder confidence.
KPI Monitoring in Databricks SQL Warehousing
June 24, 2026 – Present
Implemented Databricks SQL Warehouse for centralized KPI metrics (budget, maintenance cycle, inspection delays). Built Materialized Views and Delta Tables for fast slicing/dicing of 50+ metrics in Tableau. Reduced SQL query complexity using CTEs and reusable views for business users.
Microsoft Fabric Real-Time Streaming Report
June 24, 2026 – Present
Used Microsoft Fabric Real-Time Analytics to monitor road sensor data (vibrations, cracks) from IoT devices. Built Tableau dashboards showing live equipment alerts, generating early warning signals. Improved uptime and safety standards for national highway projects.
Cultural Fit Analysis
The candidate's project diversity, spanning coal mining, road infrastructure, and banking, indicates adaptability and a broad understanding of different business contexts. Their continuous pursuit of education (MS in AI/ML, PGD in Data Science) reflects a commitment to learning and staying current with industry trends. The emphasis on collaboration, stakeholder engagement, and training users aligns well with a team-oriented and knowledge-sharing culture. The candidate's experience in optimizing resources and improving efficiency suggests a results-driven mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership in project delivery and team coordination, as evidenced by leading design and deployment efforts, managing cross-departmental requirements, and conducting user training. Their ability to translate complex data into intuitive dashboards for non-technical stakeholders highlights strong communication and interpretability skills. Experience with Agile sprints suggests adaptability and iterative problem-solving. The candidate also shows a proactive approach to problem-solving, such as implementing automated data cleaning for inconsistent datasets and addressing data volume/latency issues.