Shivananda Dayananda

LaceworkMountain View, California

Data Engineer InternMay 2023 - August 2023

Lacework is a developing company in the cloud security space offering robust security solutions to protect modern cloud environments from advanced threats and vulnerabilities. During the internship, I was part of the sole data engineering team and I worked on building core datasets, enabling data-driven decision-making on Lacework's product improvements.

• Built a core dataset to enable Lacework product usage analysis, driving 70% reduction in Snowflake storage requirements and saving $40K in monthly Fivetran costs by replacing high-cost legacy job.
• Deployed automated Airflow pipelines on AWS, leveraging advanced API querying techniques in Python to ingest data from an observability platform and achieve data quality and completeness rate of 100%.

Target CorporationBengaluru, India

Senior Data EngineerJune 2021 - July 2022

At Target, one of the largest retailers in the world, I worked for three years. As a Senior Data Engineer, I was part of Space Presentation and Transitions team. In this role, I built optimized data processing systems to integrate and deliver certified data products that helped Target drive decisions regarding space planning and optimization in retail stores, inventory allocation, store remodeling, and planogram transitions.

• Spearheaded migration of 8 SQL-based legacy data pipelines into modern data systems by employing Spark and Scala framework on Hadoop platform, boosting overall operational efficiency by 40%.
• Optimized retail items batch data pipeline processing 800M+ records by using Spark to save 3 hours of runtime.
• Developed GraphQL-based API to query data from PostgreSQL database and eliminate dependency on a time-intensive reporting tool, reducing downstream data consumption duration by 60%.

Data EngineerJuly 2019 - May 2021

In this role, I was part of Guest Marketing team, and built end-to-end data pipelines to integrate Target's marketing campaign data that ultimately helped the advertising and financing team to understand the business impact of marketing campaigns run through various social media channels.

• Designed unified data ingestion model for 5 core datasets, eliminating redundancy and saving 4 hours of ETL time.
• Collaborated with data scientists and product managers to deploy Kafka-based streaming data pipelines for 4 social media channels, enabling cross-functional teams to make agile marketing decisions.
• Developed Grafana dashboards for real-time monitoring of data pipelines, incorporating data quality checks and anomaly detection processes, resulting in a 50% decrease in SLA for issue resolution.
• Established CICD best practices and built an artifact of data transformation utilities, reducing time-to-production.

Wells FargoBengaluru, India

Data Analyst InternMay 2018 - July 2018

• Performed historical analysis of pilot program data to determine business impact by deriving 6 efficiency metrics.
• Derived insights using advanced SQL and recommended strategies to grow program revenue by 10%.