Singala Mallikarjuna

As a data analyst and engineer, I developed data platforms that track performance metrics with many data sources spanning different time zones, countries, and tools. Integrating, streamlining, and standardizing the data points has been a pain point for the team.

I worked with many stakeholders, guiding, training, and building tools that helped achieve standardization. I completed the project in four months using various ETL and ELT tools proprietary to Google, BigQuery, and Looker Data Studio. Top leadership used this to make decisions or understand costs, resource management, people targets, productivity, and quality.

While working as a data engineer, I built data pipelines that alert stakeholders and validate and normalize the data from a multitude of high-volume data sources. I also built various Apache Airflow-customized operators and documented and formatted the data engineering team's code sources.

Served as part of a data analytics team for the safety and insurance team. I worked as a data engineer and visualizer to build data pipelines and dashboards. I also dealt with various open-source and proprietary tools for the client for orchestration and visualization. I worked in various verticals like Uber Eats and Rides.

The company provides broadband services to its customers in a small town with a base of 6000+ customers. However, there is no streamlining of the operations, sales, and bill collections, due to which unidentified defaulters have increased, and expenditure is also uncontrollable.

1. Built a web app with an issue tracker, payment integration with the third party, streamlining data system, invoicing system, and GST calculations.
2. Created a dashboard to see the analysis, employee performance, inventory management, payment cycles, bill collections, due amounts, new connections, lost connections, etc.
3. Reduced monthly costs by 30% and recovered around 9 lakh INR through unidentified defaulters.