Say Hi from Dineshkarthik,
Data & AI Leader

Define and execute global data strategies for Tesla’s manufacturing and GigaFactory Berlin operations, aligning with executive objectives to optimize efficiency. Leading a team of 10+ data engineers, analysts, software, and ML/AI engineers while fostering a collaborative, growth-oriented culture. Architecting and maintaining mission-critical data pipelines (Python, Airflow, Spark, Kafka, Flink, ClickHouse, Iceberg, Presto) and deliver AI agents for predictive maintenance and defect detection, yielding measurable gains in operational efficiency and cost savings.

Drove the design and implementation of a distributed, event-driven data platform supporting the shift to microservices using Confluent Kafka and EL with Fivetran. Established and governed data processes for the Snowflake data warehouse to ensure accuracy, security, and compliance. Collaborated with cross-functional teams to adopt Data Mesh principles, significantly improving scalability and team autonomy.

Led development of self-service data products within Zalando’s Data Mesh architecture, optimizing pipelines for faster delivery. Managed GDPR-compliant anonymization and secure handling of PII, ensuring legal and ethical data usage. Partnered with senior stakeholders to define and track KPIs, aligning data initiatives with core business objectives.

Maintained the on-premises data warehouse and orchestrated the initial migration to Snowflake, enabling a modern cloud analytics environment. Streamlined ETL processes with Apache Airflow, improving data reliability and reducing processing times.

Managed and optimized ETL pipelines using Apache Airflow and maintained the AWS Redshift data warehouse to support high-volume batch processing. Developed automation tools for data import and transformation, boosting team productivity. Mentored junior engineers to strengthen team capabilities.

Designed and maintained scalable data pipelines with Python, PySpark, Kafka, and Airflow to power analytics and recommendation systems. Built a recommendation engine and A/B testing framework that increased user engagement. Delivered actionable insights through data visualization to guide editorial and marketing decisions.

Developed and deployed interactive data-visualization dashboards for clients using Python, D3.js, Bootstrap, and jQuery. Standardized dashboard templates and led onboarding sessions, accelerating new team members’ proficiency.

Built a real-time analytics platform with Apache Spark to support enterprise applications. Automated report generation using Python (Pandas, NumPy, Matplotlib) and R, reducing manual effort by 80%. Collaborated with business and technical teams to deliver analytics solutions aligned with strategic objectives.