Lead end-to-end data transformation initiatives as company’s first data engineer, establishing robust data infrastructure and mentoring analytics team. Architect and implement modern data stack to enhance analytical capabilities and operational efficiency. Drive technical strategy while modernizing data platforms and pioneering AI-driven solutions to improve organizational efficiency.

My key achievements in this role include:

• Lead end-to-end data transformation initiatives as company’s first data engineer, establishing robust data infrastructure and mentoring analytics team. Architect and implement modern data stack to enhance analytical capabilities and operational efficiency. Drive technical strategy while modernizing data platforms and pioneering AI-driven solutions to improve organizational efficiency.
• Implement Apache Airflow to automate and streamline data pipeline orchestration
• Migrate analytics stack from Tableau to ThoughtSpot & Hex for self-service data exploration
• Deploy Snowflake Cortex AI agents in Slack to streamline data access and team operations

Ensure delivery of high-level consultancy services as Apache Airflow Subject Matter Expert for Astronomer’s customers. Create content for standard data stack integrations to Apache Airflow. Assure efficient tracking of customer onboarding and product adoption by developing data pipelines with Snowflake, dbt, and Apache Airflow. Develop migration utilities to facilitate customer migrations to Airflow hosted by Astronomer. Build and lead team for consistent achievement of set objectives.

My achievements in this role have been:

• Planned and initiated an open-source project, enabling Airflow users to orchestrate dbt core within Apache Airflow
• Promoted from Data Engineer to Senior Data Engineer by demonstrating performance during job tenure
• Reduced customer onboarding time from 90 to 30 days through automated metrics and tracking

Architected and optimized data infrastructure using Apache Airflow and Redshift, enabling data-driven decision making across the organization. Designed and implemented automated monitoring systems to ensure pipeline reliability and minimize data outages. Collaborated with business leaders to transform complex data requirements into actionable insights through Tableau dashboards and reports. Developed sophisticated SQL optimization strategies to enhance pipeline performance and data warehouse efficiency.

The values I have driven in this role include the following:

• Promoted from Data Analyst to Data Engineer through exceptional performance
• Created self-service tools to reduce data team request volume

From 2016 to 2019, I created automated reports and dashboards leveraging Microsoft Power BI. Assured the development of data pipelines and ETL processes by utilizing Talend Studio. Moreover, I delivered strategic guidance on data mining, transformation, and visualization to various organizations. Coordinated with team members for the successful accomplishment of set tasks. Developed and sustained strong professionalism at all levels to attain shared objectives.

A small selection of the achievements from this role include:

• Decreased the number of neglected cases by 55% by improving data visibility across IT organizations.
• Devised and deployed dashboards, showing resolution time on tickets and bringing awareness to the large volume of stale support tickets.