Dennis Markapudi
Leicester
Summary
Strong Experience in Oracle database design, migration and and Automation using Blue Prism. Passionate and building career into Microsoft Fabric Data engineering post a masters in BI. Currently in pursuit of Data Engineer Associate Certification (DP 700) from Microsoft.
Overview
5
5
years of professional experience
1
1
Certification
Work History
Software Engineer
Arete Technology Solutions Ltd
06.2019 - 05.2023
- Developed processes for clientele in KSA with Python and Blue Prism.
- Collaborated with 3+ stakeholders to translate business requirements into analytical solutions from Problem Design Document (PDD).
- Put to together comprehensive Solution Design Documents (SDD) ensuring translation of business into technical solutions.
- Enhanced efficiency resulting in 33% time saved in critical Merchant Claims project
- Exposure to deployment, demo and Change Requests and other pre-live activities.
Programmer Analyst Trainee
Cognizant Technology Solutions Pvt Ltd
12.2017 - 10.2018
- Database experience: Part of Development and design team for data migration using Oracle SQL and Oracle Data Integrator (ODI) and Oracle Database 11g and 12c
- Data Management: Performed data cleansing, validation and quality analysis on large datasets using MS Excel and SQL, ensuring data integrity throughout the migration process
- Pipeline development POC with US Energy Sector
Education
Master of Science - Data Analysis For Business Intelligence
University of Leicester
Leicester07-2025
Bachelor of Engineering - Electronics and Communication
Sathyabama University
Chennai06.2025
Skills
- Data Engineering: Azure Fabrics, Data Pipeline, Data Flows, ELT / ETL ,Notebook, Event stream, Lakehouse concepts, Warehouse, Eventhouse, One Lake Management, Medallion Architecture, Oracle Data Integrator (ODI ETL), Database Design (Oracle 11g/12g), Development & Migration
- Programming Languages: Python - Pandas, NumPy, Matplotlib, PySpark, SQL, KQL, T- SQL
- Data Visualisation: Excel, Power BI, IBM Cognos Analytics
- Unsupervised Algorithms like K-means, Hierarchical, Principal Component Analysis, DBSCAN
- Robotic Process Automation (Blue Prism)
- Familiarity with Computer Networking: Routing and Switching – CCNA
Certification
- IBM partnered - Python for Data Science, AI & Development – Jul 2021
- Data Visualization and Dashboards with Excel and IBM Cognos: – Jun 2021
- Excel Basics for Data Analysis and Introduction to Data Analytics – Jun 2021
Timeline
Software Engineer
Arete Technology Solutions Ltd
06.2019 - 05.2023
Programmer Analyst Trainee
Cognizant Technology Solutions Pvt Ltd
12.2017 - 10.2018
Master of Science - Data Analysis For Business Intelligence
University of Leicester
Bachelor of Engineering - Electronics and Communication
Sathyabama University
Master’s Dissertation
Title: Build a stock market analyser, Chosen Focus Index: Nasdaq100 (NDX); Portfolio Risk & Management, Direction of the project:, Data procurement with Norgate – a premium data provider, Analysed Nasdaq100 portfolio using Python (Pandas, NumPy, matplotlib), Applied statistical techniques: normalization (ADF test), volatility & momentum analysis, Implemented machine learning: K-means clustering, PCA, Hierarchical clustering, Volatility vs momentum Scatterplot: Clear picture of where the stock lies, Generated actionable investment insights based on risk-graded clustering analysis, Identified market trends across 3 distinct clusters (Financial Tech, Innovative Firms, Market Leaders), Conclusion and investment strategy: Based on graded risk, conclusion at LinkedIn post, Research repo and code: https://github.com/tosstodennis?tab=repositories
Publications
- Performance analysis of an efficient Neuron Architecture using 32nm CMOS Technology in this link
- Survey Paper: Review on performance of neuron architecture in ieee xplre library