Deepa Rajaram

About Me

I'm an experienced Data Engineering Manager with a passion for building scalable data platforms and nurturing high-performing teams. With a robust background in data architecture, analytics engineering, and team leadership, I help organizations transform raw data into valuable business insights.

Currently leading data products development at a major tele-health company, I specialize in modern data stack implementation (dbt, Looker, BigQuery), cloud platforms (GCP, AWS), and data mesh architectures. My teams have consistently delivered solutions that drive significant business impact, including revenue growth, operational efficiency, and improved customer experiences.

Having progressed from Data Analyst to Engineering Manager, I understand the various career stages in the data field and enjoy mentoring others on their professional journey. My approach combines technical expertise with practical business understanding, helping mentees build both the hard and soft skills needed to excel in data careers.

Key Expertise

Technical Skills:

• Analytics Engineering: SQL, BigQuery, dbt (data build tool), Looker
• Data Analysis: Python, R, Statistical modeling, A/B testing
• Marketing Analytics: GA4, Customer segmentation (RFM), Churn prediction, Forecasting
• Advanced Analytics: Cohort analysis, LTV modeling, Attribution modeling, Retention metrics
• Data Architecture: Data warehousing, ETL/ELT pipelines, data modeling
• Cloud Platforms: Google Cloud Platform (GCP), AWS, Azure basics
• Business Intelligence: Dashboard development, data visualization, KPI frameworks
• Software Engineering: Python, Git, CI/CD for analytics workflows

Leadership & Soft Skills:

• Team management and mentoring (5+ years experience)
• Technical hiring and team scaling strategies
• Career development planning and guidance
• Cross-functional collaboration with product, engineering, and business teams
• Agile/Scrum methodologies in data teams

Mentoring Approach

My mentoring style is collaborative and goal-oriented. I believe in providing both theoretical knowledge and practical guidance that can be immediately applied. Sessions are tailored to each mentee's specific needs, whether that's technical skill development, career navigation, or leadership growth.

As someone who has built data teams from the ground up, I offer unique insights into both individual contributor and management career paths in the data field. My mentees benefit from hands-on exercises, real-world case studies, and personalised feedback that accelerates their professional development.

Areas of Focus

• Data engineering and analytics engineering best practices
• SQL, Python, dbt, and cloud data platforms
• Building effective data teams and fostering data culture
• Career progression in data roles
• Leadership skills for technical professionals
• Interview preparation and resume review