Experienced Data and Business Intelligence Analyst proficient in SQL, Python, Power BI, Tableau, and Azure Data Services. Skilled across multiple operating systems and programming languages, with a strong foundation in R…
Experienced Data and Business Intelligence Analyst proficient in SQL, Python, Power BI, Tableau, and Azure Data Services. Skilled across multiple operating systems and programming languages, with a strong foundation in RDBMS including MS SQL Server, MySQL, Oracle, and MS Access. Experienced in BI tools such as SSIS, SSRS, and SSAS, as well as cloud platforms like Microsoft Azure. Proven ability to translate complex data into actionable insights for informed decision-making. Effective communicator with strong analytical and problem-solving skills. Microsoft Certified Azure Data Fundamentals Analyst. Seeking opportunities to leverage data analysis and visualization expertise to drive business success.
• Analyzed and interpreted complex data sets to identify trends, patterns, and insights, facilitating informed decision-making for the executive team.
• Created and formulated SQL queries, scripts, and stored procedures to extract, transform, and load (ETL) data from various sources into the company's data warehouse.
• Coordinated with cross-functional teams to design and implement interactive dashboards using Power BI, improving data accessibility and user engagement.
• Designed and Controlled PySpark scripts for data cleaning, preprocessing, and feature engineering, ensuring data quality and accuracy.
• Assisted in creating and maintaining dashboards and visualizations to track Key Performance Indicators.
• Conducted performance tuning and optimization techniques on PySpark jobs to enhance processing speed and efficiency, resulting in a 30% decrease in job execution time.
• Worked with Spark SQL in PySpark to query large datasets, providing actionable insights to business stakeholders.
• Carried out data analysis and exploratory data visualization using Power BI to identify trends, patterns, and outliers.
• Implemented data security measures to safeguard sensitive information during data processing and storage, ensuring compliance with regulatory standards such as GDPR.
• Engineered, implemented, and upheld the robust infrastructure supporting pipelines, encompassing advanced capabilities in task orchestration, CI/CD pipelines, data governance, and data monitoring & observability.
• Contributed to the development and optimization of PySpark applications on cloud platforms such as Azure.
• Utilized Python for statistical analysis and hypothesis testing, contributing to data-driven decision-making processes.
• Integrated Power BI with different data sources, including databases, Excel files, and cloud platforms, ensuring seamless data connectivity.
• Engineered interactive data visualizations using Python libraries like Matplotlib and Seaborn to communicate complex findings to stakeholders effectively.
• Designed and maintained SQL queries to extract, manipulate, and aggregate data from relational databases, ensuring efficient data retrieval.
• Executed data quality initiatives, improving data accuracy and consistency by 20% through data cleansing and validation procedures.
• Engaged with cross-functional teams to understand business requirements and translated them into actionable insights through Python-based data analysis.
• Automated repetitive tasks
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