Keerthi Unnam
Graduate student at University of Texas at Dallas | Data Engineering | Business Analytics | Python | MySQL | Tableau | R | Data Analytics | Financial Analytics |
- Role
- Data Engineer at PacifiCorp
- Location
- Dallas, TX, US
- LinkedIn followers
- 500 followers
About Keerthi Unnam
With a proven track record as a Data Engineer, I specialize in implementing cloud-based systems and architecture, primarily within the finance and technology sectors. My expertise lies in seamlessly leading on-premises to AWS and Azure cloud migrations, enhancing the analytics of financial transactions. I excel in crafting resilient data pipelines that prioritize data quality and automate workflows, significantly improving operational efficacy. I\'m skilled in designing and executing scalable data models for high-velocity financial data, guaranteeing comprehensive analysis and unwavering data integrity. My work includes developing multi-region data lakes with stringent data security and compliance, upheld by AWS IAM and Azure protocols. My proficiency extends to meticulous data analysis, producing essential metadata and data dictionaries that are key to model development and gaining deeper insights. I take pride in driving strategic projects that utilize cloud-native features to yield critical business insights, influence strategy, and enhance client satisfaction. As a mentor, I empower junior data engineers, fostering an environment of collective knowledge and alignment with strategic goals. Innovating data structure optimization is another area where I lead, aiming to heighten operational efficiency, data integrity, and streamline onboarding processes. My commitment to system reliability is reflected in ensuring near-perfect system uptime (99.9%), providing on-call support to maintain uninterrupted data availability. I am a cornerstone member of Data & Automation teams, pushing forward the progress of data platforms and advocating for data-driven decision-making. TECHNICAL SKILLS- Cloud Platforms: AWS (EC2, S3, RDS, Lambda), Azure (HDInsight, Blob Storage, Data Lake) Programming Languages: Python, SQL, Scala Databases & Data Warehousing: MySQL, PostgreSQL, Hadoop, Spark Data Modeling & ETL Tools: Data Factory, SSIS, Informatica Other Tools/Technologies: Git, Docker, Kubernetes, Terraform Thank you for visiting my profile, Happy to connect! Keerthi Unnam 23••••••27 u••••••••@gmail.com
Experience
Data Engineer
Aug 2022 — Present
Led the development of robust data pipelines to facilitate the seamless migration of on- premises data to Azure Cloud, leveraging Azure Data Factory and Azure Databricks for data movement and transformation. • Ensured data quality and availability within Azure environments, utilizing Azure Data Lake Storage and Azure SQL Database to store and manage data. • Designed and implemented a highly efficient mechanism for capturing and storing feedback data, with a focus on model…
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