Experienced data engineer with a proven track record of leveraging cutting-edge technologies todrive actionable insights and optimize data-driven decision-making. With 4+ years of professionalexperience, I specialize in designing, implementing, and maintaining scalable data pipelines andarchitectures to efficiently process and analyze large volumes of data.
My expertise lies in utilizing industry-leading tools and frameworks to extract, transform, and loadcomplex data sets from various sources and then extract useful insights from them. I am adept atdeveloping robust ETL processes and data integration solutions, ensuring data quality, and establishingdata governance practices to meet business objectives.
By applying my strong academic and professional skills in preparing data and extracting useful insightsfrom it, I have successfully built end-to-end data solutions that enable organizations to unlock valuableinsights and drive strategic decision-making. I am passionate about optimizing data workflows,enhancing data accessibility, and improving system performance to deliver actionable results.
Collaboration is at the heart of my work, and I thrive in cross-functional teams where I can effectivelycommunicate complex ideas to both technical and non-technical stakeholders. With a detail-orientedapproach, I excel in troubleshooting and resolving data-related issues, implementing data securitymeasures, and adhering to best practices in data management.
If you're looking for a dedicated data enthusiast who can harness the power of data to empower yourorganization, let's connect. Together, we can leverage advanced analytics and data-driven solutions tounlock new opportunities and drive innovation.
• Translated business requirements into detailed technical specifications for data engineering projects.
• Designed, developed, and optimized ETL processes using both native and third-party tools and utilities.
• Demonstrated proficiency in writing and fine-tuning complex SQL queries and shell scripts to ensureefficient data processing.
• Engineered code, scripts, and data pipelines to effectively handle structured and unstructured datasources.
• Created data ingestion pipelines and executed ETL processing, including real-time data acquisitionand stream processing.
• Formulated processes and procedures for seamless integration of data warehouse solutions withinoperational IT environments.
• Monitored system performance, identifying opportunities for improvement and recommendinginfrastructure adjustments as needed.
• Produced and maintained comprehensive technical documentation to support solution implementationand ongoing maintenance.
•Teradata performance tuning/monitoring through Statistics & Teradata Viewpoint
• Worked on Python using Anaconda
• Maintained and troubleshoot issues in database objects and stored procedures.
• worked on Analysis and prediction of the Radiofrequency domain by raw data cleansing
• applied multiple statistical features over prepared data for better pattern recognition
• Reporting and Visualization of data patterns by showing them in dashboards of POWER Bl.
• Data preparation, cleansing & transformations
• Extracting actionable insights & portraying information with interactive visuals using In-Design
• Participation with my team in Data Modeling design, architecture analysis (Star, Snowflake, Galaxyconstellation), and schema building
Proficiently utilized SQL Server Management Studio (SSMS) and T-SQL to construct and optimize complex database objects and processes, ensuring seamless data organization and management.
Designed and implemented an advanced database system for students applying for international academic programs, establishing a secure repository for diverse student details with data validation mechanisms for reliability.
Leveraged Kobo Toolbox for seamless data collection, skillfully gathering insights from applicants and conducting meticulous analysis within the same platform.
Extracted trends, patterns, and valuable insights, enriching decision-making processes for academic institutions and students alike.