Dileep S Email & Phone Number

Minneapolis, Mn

Experienced in creating and optimizing PL/SQL stored procedures, leveraging complex joins, CTEs, and cursors to enhance query performance. Utilized bulk collections in PL/SQL to improve procedure efficiency and designed ETL processes using Talend to load data from staging to data marts. Skilled in troubleshooting, analyzing, and enhancing Oracle Database and ETL batch processing. Proficient in building complex ETL jobs with Talend components, implementing data models for integrity, and automating FTP operations. Generated periodic reports, created Tableau flows for optimized reporting, and actively participated in Agile/Scrum meetings for process enhancements.

St Louis, Missouri, United States

I gathered requirements, collaborated with stakeholders and solution architects to develop detailed design documents, performed data cleaning, transformation, and quality assurance, and implemented scalable data pipelines using PySpark, SparkSQL, AWS EMR, and Snowflake for efficient data processing and integration. I automated workflows with Airflow, migrated SSIS jobs to Matillion, and created ETL pipelines for aggregated tables, while also leveraging Python for data analysis and visualization. Additionally, I built interactive dashboards and reports using Tableau and Superset, provided ad-hoc insights through Adobe Analytics, and ensured data integrity and quality with Spark-based validation techniques.

United States

I recently participated in a Data Analytics and Visualization Virtual Experience, where I had the opportunity to apply my skills in data analysis, visualization, and problem-solving to a real-world scenario. Throughout this experience, I collaborated with a team of professionals and utilized various tools and techniques to gain valuable insights from data and effectively communicate them through visualizations.The virtual experience began with a comprehensive understanding of the project's objectives and data requirements. I worked closely with the provided dataset, exploring its structure, variables, and potential relationships to identify key insights.To analyze the data, I employed statistical analysis techniques, data cleaning, and transformation processes to ensure data integrity and accuracy. I utilized programming languages such as Python or R, and relevant libraries and frameworks, to extract, clean, and manipulate data efficiently. This involved handling missing values, outlier detection, and data normalization as necessary.Once the data was prepared, I leveraged various data visualization tools and libraries, such as Tableau, Power BI, to create interactive and informative visual representations of the data. I carefully selected appropriate visualizations, such as bar charts, scatter plots, or heatmaps, to effectively convey insights and trends in the data. I paid special attention to the aesthetics and clarity of the visualizations.In addition to individual analysis, I actively collaborated with my team members to share insights, validate findings, and refine the overall data narrative. This involved participating in virtual meetings, presenting findings, and incorporating feedback to improve the quality and coherence of our collective work.Furthermore, I documented my analysis and visualization processes. This documentation served as a reference for future analysis and as a way to share knowledge with colleagues and stakeholders.

United States

I had the opportunity to work on a challenging and rewarding Hospital Data Management project, where I played a key role in implementing an efficient and secure system to handle the vast amounts of data generated by the hospital.Throughout the project, I utilized my expertise in data management and healthcare systems to achieve the project's objectives.Firstly, I conducted a thorough analysis of the hospital's existing data infrastructure, identifying areas for improvement and potential challenges.To ensure data accuracy and integrity, I implemented data validation processes and established data governance protocols. This involved setting up standardized data entry procedures, implementing quality checks, and creating data validation rules to minimize errors and inconsistencies in the system.One of the highlights of the project was developing a user-friendly interface that allowed hospital staff to easily access and retrieve relevant data.In conclusion, my experience on the Hospital Data Management project involved analyzing, designing, and implementing a comprehensive data management system that addressed the hospital's specific needs while ensuring data accuracy, security, and accessibility. It was a challenging yet rewarding experience that allowed me to leverage my skills in data management and healthcare systems to make a positive impact on the hospital's operations.

Provide/deny access to Markin at the Control DeskAssist anyone who becomes injured during their "shift", secure appropriate medical assistance when needed, and fill out the appropriate injury formsPeriodically make rounds of the building to monitor activity and identify items/situations that ariseFill out the respective reports detailing usage of the building and equipment concerns/needs as provided by the Director of Campus Recreation Communicate with employees to make sure they have the support necessary to perform their workAssist any understaffed areas until a student can be recruited to workUtilize the hand-held radio system to communicate throughout facilities.Assist in keeping machines clean and sanitary for patrons.

Telangana, India

I guided business teams through enterprise data warehouse planning by gathering requirements and collaborating with executives to design revenue process-based solutions. I contributed to all phases of data warehouse development, including prototyping, data modeling, ETL development, and testing, using tools like Visio for star-schema data marts to support OLAP cubes and SSRS reporting. I partnered with third-party vendors to integrate ERP data from systems like Dynamics GP, developed ETL pipelines with SSIS to handle diverse data sources (Oracle, Netezza, Excel), and utilized T-SQL to manage data transformations, including stored procedures and complex queries. Additionally, I ensured data accuracy by validating enterprise data against warehouse sources, coordinated end-to-end testing, and created interactive Power BI dashboards to deliver insights. Lastly, I documented and presented data warehouse processes and architecture to stakeholders.

Telangana, India

Collaborated with a team to assist in data collection and preprocessing, gaining hands-on experience in data preparation workflows.Applied basic data analysis techniques to uncover insights within datasets, contributing to the team's understanding of key trends.Utilized Excel to create visually appealing charts and graphs that effectively communicated analysis findings to team members.Participated in team discussions to brainstorm ideas for data analysis projects, showcasing a proactive and engaged approach.Assisted in the creation of reports and presentations that summarized analysis results, enhancing communication skills.Gained exposure to forecasting concepts by supporting senior analysts in predicting future trends based on historical data.Developed proficiency in Python programming through tasks like basic data manipulation and exploratory analysis, contributing to your technical skill set.Demonstrated attention to detail by identifying data anomalies during preprocessing, ensuring the accuracy of analysis outcomes.Enhanced your understanding of data privacy regulations by following ethical considerations when handling sensitive information.Engaged in mentorship opportunities with experienced data analysts, learning about best practices in data analysis and gaining valuable insights.

Master'S Degree, Computer And Information Sciences, General

Bachelor Of Technology - Btech, Electrical And Electronics Engineering