Tajinder Singh

WORK HISTORY

EDUCATION

SKILLS

ABOUT TAJINDER SINGH

Results-driven Data Analyst with 12+ years of experience spanning software development, data engineering, and advanced analytics. Skilled in building scalable ETL pipelines, integrating multi-source datasets, and applying statistical and forecasting techniques to support business decision-making. Proficient in Python, SQL, and data quality monitoring, with a proven track record of automating workflows, improving data reliability, and delivering actionable insights. Strong collaborator with expertise in technical documentation, cross-functional communication, and translating complex data into business value. TECHNICAL SKILLS Programming & Analytics Python (Pandas, NumPy, SciPy, Matplotlib) for data preprocessing, modeling, simulation, and statistical analysis. SQL (T-SQL, PL/SQL, PostgreSQL, MSSQL) for querying, joins, stored procedures, views, and optimizing large datasets. Data Analysis & Modeling – scenario analysis, forecasting, demand/supply simulation. Automation & Scripting – SQL jobs, Python scripts for recurring ETL and validation tasks. Data Engineering & Integration ETL & Data Pipelines – SSIS, SSRS, SSAS for extraction, transformation, and loading across multi-source environments. Data Quality Monitoring – anomaly detection, missing value imputation, integrity validation. Database Management Systems – SQL Server, PostgreSQL, Microsoft Access. API & Multi-Platform Integration – connecting e-commerce, CRM, ERP, and partner systems into unified data layers. Visualization & Exploration Tableau, Power BI, Excel (advanced) – used primarily for exploratory data validation, stakeholder communication, and QA checks. DAX & Calculations for KPI design, variance, and time-series analysis. Exploratory Visualisation – quick prototyping of models, trends, and validation insights. Project & Collaboration Tools Jira, GitHub, and Confluence for agile collaboration, version control, and technical documentation. MS Office Suite (Excel, Word, PowerPoint) for reporting, model interpretation, and business communication.