Rohitha Yarlagadda

I work as a Data Engineer in large, data-centric projects.

Having started my career in software development and transitioned roles across Big Data, DevOps, AdTech domains, made me well versed in both the engineering and consulting worlds. This experience helped me perfect learning new skills as software solutions and coding vary from client to client.

The opportunity that data can bring to the table piqued my interest. Breaking down complex problems leaves me with a sense of fulfilment and joy. Building advanced, scalable, cost-efficient processes on a daily basis is total superhero-esque vibes. Innovation in the data ecosystem pushes me to learn and do better.

Expertise: Data Pipeline Development, API Integrations, Performance Optimization, Data Modeling & Database Design, Data Quality & Governance, Monitoring and Maintenance, ETL

I am Rohitha Yarlagadda, a proactive and independent Data Engineer with a track record of driving significant improvements in data processing efficiency, accessibility, and cost savings. My career at Adobe demonstrates my ability to design and implement robust ETL pipelines, resulting in a 50% enhancement in query execution speed and a 20% reduction in processing costs. I have also created highly efficient API data pipelines, improving data accessibility by 90% and achieving a data completeness rate of 98%.

In addition to technical skills, I excel at orchestrating complex workflows in Airflow, accommodating a 70% increase in data volume while reducing resource wastage by 30%. I have a strong track record of solving real-world business problems, such as reducing ad update turnaround time from weeks to minutes by integrating Ad server data with third-party APIs.

My proactive approach extends to leadership, as I initiated and led a successful Proof of Concept (POC) for creative optimization, resulting in a 30% reduction in iteration cycles. I championed the establishment of Data Governance Reports (DGRs), leading to a 40% reduction in reported incidents during data lineage transfers.

Furthermore, I have a history of optimizing Databricks jobs, reducing costs by thousands of dollars and improving data processing efficiency by approximately 20%. I also engineered PySpark wrapper scripts, ensuring a seamless migration from HiveQL to SparkSQL with minimal downtime.

My experience is not limited to Adobe; I have also made significant contributions at Westpac, where I reduced MTTR by 30% and accelerated release velocity by 2x through health rules, policies, and Python scripts. At AppDynamics, I played a pivotal role in driving revenue growth by creating use cases and providing deep-dive training to associates. In my role at Tata Consultancy Services, I automated Cisco Application Centric Infrastructure (ACI), resulting in a 20% annual ROI.

With a Bachelor's degree in Computer Science and a strong academic track record, I am well-prepared to tackle complex data engineering challenges. My dedication to excellence, proactive mindset, and ability to work independently make me an ideal candidate for your team.

In addition to my professional accomplishments, I have a strong academic background, achieving a 96.4 percentile in the CAT 2020 Quantitative Ability exam and winning a storytelling contest among 10,000+ participants. I was also honored with a Merit Graduate Scholarship by the Andhra Pradesh State Government and selected for a sponsored Professional Development program.

My technical skills encompass a wide range of tools and platforms, including Databricks, Python, Airflow, PySpark, SparkSQL, HiveQL, BigData, AWS, GCP, and more. I hold certifications in AWS Cloud Practitioner, Databricks Lakehouse Fundamentals, and Google Analytics 4.