Kalesha G
Sr Azure Data Engineer | Expert in both AWS & Azure Clouds | Proficient in Python, ETL Testing, Spark, Azure Data dog, Snowflake, Azure Data Lake | Highly efficient & Motivated Data Engineer
- Role
- Sr Azure Data Engineer at Walmart
- Location
- Lowell, MA, US
- LinkedIn followers
- 500 followers
About Kalesha G
I graduated from Rivier University with a degree in Computer Science. As a skilled Data Engineer, I am confident in my ability to design, build, and optimize data pipelines and architectures. I am eager to demonstrate my technical expertise and leadership skills, while continuously learning and working on projects that enhance my knowledge in big data, cloud computing, and scalable data solutions. Programming Languages: Python (Pandas, NumPy, Scikit-learn, SciPy), PySpark, SparkSQL, R, Java Databases: SQL (MySQL, Oracle, PostgreSQL), NoSQL (MongoDB), AWS Redshift ETL & Data Visualization Tools: Snowflake, Tableau, Power BI, Flourish, AWS Glue, Alteryx, MS Excel, PowerPoint Tools & Technologies: MATLAB, Git, Apache Spark, Databricks, Google BigQuery, Hadoop, Apache Airflow Specializations: ETL, Data Extraction and Analysis, Data Modelling, Data Mining, Statistics, Data Wrangling How I Make an Impact: Architecting high-performance data pipelines to ensure smooth and efficient data flow Transforming complex datasets into meaningful insights through analytics and visualization Optimizing query performance and automating workflows to enhance efficiency Ensuring data integrity & governance, enabling businesses to make reliable, data-driven decisions Bridging the gap between data & business, making analytics accessible and impactful Excited to collaborate, innovate, and build data-driven solutions! Open to opportunities in Data Engineering, Analytics, and Cloud Data Solutions. Let’s connect and shape the future of data together!
Experience
Sr Azure Data Engineer
May 2023 — Present · AZ, US
In my role as Senior Azure Data Engineer at Walmart, I oversaw the development and deployment of high-performance, scalable data pipelines for real-time retail analytics. xperienced Sr. Azure Data Engineer with expertise in Azure Data Factory, Azure Databricks, Azure SQL Database, Power BI, and Azure Data Lake.Proficient in developing, deploying, and maintaining ETL pipelines using Azure Data Factory (ADF) and Databricks to handle large-scale data operations.Skilled in data warehousing, data engineering, and big data solutions, with a focus on cloud technologies and advanced analytics.Expertise in automating data quality checks, implementing CI/CD pipelines, and applying MLOps for predictive modeling and machine learning solutions.Strong knowledge of Azure Cloud architecture, data storage, Spark, Python, SQL, and Azure DevOps.Proficient in Snowflake, Azure Synapse, and PowerShell scripting for cloud automation and data governance.Passionate about driving business intelligence solutions with a focus on data transformation, visualization, and scalable analytics.Led the development of ETL pipelines in Azure Data Factory for seamless data movement across cloud-based data platforms.Designed and implemented data lakes in Azure Data Lake Storage, optimizing data storage, access, and management for high-volume data.Developed and managed Spark applications in Azure Databricks for large-scale data processing and transformations.
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