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18 years of experience primarily in Banking and Financial Services, with strong expertise in FR 2052a FED Regulatory Reporting (5G & 6G), Analytics, and Data Governance. Proven track record in the design, development, and implementation of Cloud Data Lake, Data Mesh, Data Warehouse, and Business Intelligence solutions. Possesses strong technical, analytical, and functional skills, with end-to-end ownership across SDLC and Agile methodologies, including requirements analysis, documentation, architecture design, development, testing, implementation, production support, incident management, root cause analysis, and real-time debugging. Designed and delivered cloud-native solutions with a strong focus on engineering excellence, automation, innovation, and cross-team collaboration. Continuously evaluated and adopted new technologies, tools, and working practices, demonstrating agility and a strong learning mindset. Brought a curious, questioning approach to solution design, contributing innovative ideas and improving architectural and operational outcomes. Triaged complex production issues, performed root cause analysis (RCA), and made decisive, data-driven decisions under high-pressure scenarios. Acted confidently in break-glass production incidents, restoring services and minimizing customer impact during critical outages. Designed and implemented scalable solutions using AWS services, including compute, storage, networking, containers, and serverless frameworks. Built and deployed applications using Infrastructure as Code (IaC) tools such as Cloud Formation, Terraform, Ansible, and ARM, ensuring repeatability and compliance. Applied object-oriented principles and design patterns to develop maintainable, extensible, and high-performing applications. Developed and deployed containerized applications, leveraging Docker and Kubernetes, with strong experience deploying workloads on Amazon EKS. Implemented CI/CD pipelines using Jenkins and Git-based workflows, enabling automated build, test, and deployment processes. Collaborated effectively with distributed teams and stakeholders, both in-person and virtually, building trusted and productive working relationships. Worked with enterprise database technologies including Oracle, PostgreSQL, and SQL Server to support transactional and analytical workloads. Defined and implemented cloud reliability, resiliency, and observability strategies, ensuring high availability and performance of Tier-3 critical systems. Established and enforced engineering standards and best practices, contributing to increased engineering maturity and operational stability. Deployed and managed LLM-based solutions, including Retrieval Augmented Generation (RAG) architectures in cloud environments. Built full-stack AI-powered applications, integrating LLMs with backend services and cloud infrastructure. Applied best practices in prompt engineering, data privacy, hallucination mitigation, bias awareness, token usage, and cost optimization. Demonstrated understanding of GenAI modalities, determinism vs. randomness, and agentic behavior in production systems. Developed AI workflows and services using object-oriented Python, ensuring scalability, reliability, and maintainability. Data engineering professional poised to add significant value through comprehensive experience in developing scalable data solutions. Noted for strong team collaboration and adaptability in fast-paced environments. Reliable in driving results with key skills in data modeling, ETL processes, and cloud-based data platforms. Experienced with building and maintaining data pipelines to ensure seamless data flow. Utilizes advanced knowledge of big data technologies to drive data-driven decision-making. Track record of enhancing data architecture for improved performance and reliability. Senior engineering professional with deep expertise in data architecture, pipeline development, and big data technologies. Proven track record in optimizing data workflows, enhancing system efficiency, and driving business intelligence initiatives. Strong collaborator, adaptable to evolving project demands, with focus on delivering impactful results through teamwork and innovation. Skilled in SQL, Python, Spark, and cloud platforms, with strategic approach to data management and problem-solving. Diligent [Desired Position] with robust background in data engineering and proven ability to design and implement complex data pipelines. Successfully contributed to optimizing data architecture and enhancing data processing efficiencies. Demonstrated expertise in big data technologies and proficiency in Python and SQL. Responsive expert experienced in monitoring database performance, troubleshooting issues and optimizing database environment. Possesses strong analytical skills, excellent problem-solving abilities, and deep understanding of database technologies and systems. Equally confident working independently and collaboratively as needed and utilizing excellent communication skills. Detail-oriented [Job Title] designs, develops and maintains highly scalable, secure and reliable data structures. Accustomed to working closely with system architects, software architects and design analysts to understand business or industry requirements to develop comprehensive data models. Proficient at developing database architectural strategies at the modeling, design and implementation stages. Astute [Job Title] with data-driven and technology-focused approach. Communicates clearly with stakeholders and builds consensus around well-founded models. Talented in writing applications and reformulating models.

Dynamic and results-oriented technology leader with extensive experience in aligning technological innovations with strategic business objectives. Expertise in harnessing the potential of teams and advanced technologies to initiate transformative change and deliver high-impact solutions that drive organizational success. Demonstrated ability to navigate complex challenges, successfully revitalizing underperforming projects and significantly enhancing overall business value through innovative data strategies. Specialized knowledge in developing sophisticated data solutions, including master data management, business intelligence, and data governance, tailored for Fortune 500 companies, complemented by a strong foundation in enterprise data architecture design and implementation.

 Business data analyst with 5 years of experience in the creation of functional requirements, process flow analysis, and design, conducting functional and regression testing, coordinating user acceptance testing, content management analysis, detailed data analysis and proof of concept coordination. Experience in data analysis, data visualization using Tableau/ Microsoft Power BI, model building with Machine learning algorithms for prediction and forecasting using data (historical or time series with regression techniques), using statistical / econometric tools like SAS and R, data mining using Python, SQL, Hadoop, Spark and Hive. Strong experience in Business and Data Governance, Data Integration, MDM, NoSQL and Metadata Management Services and Configuration Management. Expertise and vast knowledge in Enterprise Data Warehousing including Data Modeling, Data Architecture, Data Integration (ETL/ELT) and Business Intelligence. Develop and implement data governance policies, procedures, and standards to ensure data quality, integrity, and security. Establish and maintain a data governance framework, including data classification, data ownership, and data stewardship. Experience performing multi-function management and business analysis for various projects. Lead data analytics projects from requirement stage, scope analysis, developing models, deployment and support. Developed automated scripts to do the migration using UNIX Shell scripting, Python, Oracle, T-SQL, Macros and Procedures. Expertise in transforming business requirements into analytical models, design algorithms, develop reporting solutions that scale across massive volumes of structured and unstructured data. Experience interpreting and analyzing large data sets for driving business solutions, building and evaluating analytical models, examining a range of disparate data sources, performing statistical analysis, creating reports/dashboards/graphs/storytelling to provide actionable insight for decision making. Skilled in Statistical analysis, Qualitative analysis, predictive modelling and forecasting, hypothesis testing, data mining, data cleaning, data quality assessment data integration and validation, data modeling, ETL and data visualization. Develop and deliver data governance training programs to educate employees on data governance principles and best practices. Monitor and enforce compliance with data governance policies and procedures. Proficient in MySQL (RDBMS, SQL Server, PL/SQL), Python (NumPy, pandas, scikit-learn), R programming (ddply, ggplot2, random forest), SAS EG, SAS/ BASE Core Java, Web scrapping, A/B Testing, Google analytics, Web analytics, marketing analytics. Highly proficient in writing, testing and implementing triggers, stored procedures, functions, packages and cursors using PL/SQL. Developed Python scripts to parse the Flat Files, CSV, XML, JSON Files and extract the data from various sources and load the data into the data warehouse. Experience in designing Business Intelligence Solutions with Microsoft SQL Server and using MS SQL Server Integration Services (SSIS), MS SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS). Expertise in Advanced MS-Excel, PowerPoint, spreadsheets (Pivot tables, Pivot Charts, Macros, VLOOKUP), Jupyter Notebook, Version Control Software (GitHub, Jira). Expertise in Master Data Management concepts, Methodologies and ability to apply this knowledge in building master Worked with AWS Cloud platform and its features which includes EC2, VPC, RDS, EBS, S3, CloudWatch, Cloud Trail, Cloud Formation and Autoscaling. Involved in System Integration Testing, (SIT), Regression Testing, Performance Testing and User Acceptance Testing (UAT). 

18+ years Data Warehouse and Business Intelligence Development (Inmon and Kimball Architectures)18+ years Dimensional Data Modeling25+ years Enterprise Data Modeling and Development18+ years ETL Engineering and Development18+ years Data Modeling for OLTP systems25+ years Report Development and Modeling24+ years Database Administration, Data Management and Architecture expertise24+ years Business Analysis and Documentation18+ years HTML Web Development
Authorized to work in the US for any employer, no visa needed.

Isaac Desta

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IT Specialist

IT Specialist

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Bachelor of Science - Cyber Security

Associate degree: Associate of Arts Degree - Liberal Arts

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IT Specialist

IT Specialist

Bachelor of Science - Cyber Security

Associate degree: Associate of Arts Degree - Liberal Arts

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