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Shalin S.

Team Lead Manager @Bloomberg

Warren, NJ, US
MOBILE NUMBERS
+18•••••••97

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WORK HISTORY

Jan 2024 — Present

Team Lead Manager @Bloomberg

NY, US

Responsible for running Data Platform for Fixed Income Pricing group at Bloomberg. Early on as I took over the team I helped set the vision for the team which was to \"Accelerate usage of data within the org\". To achieve that vision following capabilities were added by the team - Provided a SQL interface to the DataLake via Trino- Integrated with Trino Gateway to seamlessly scale clusters- Trino was orchestrated on top of K8s to seamlessly scale individual Trino clusters, encourage team to get adopt more modern technologies like K8s- Provided Superset as a visualization tool on top of the lake to enable ease of access of data- Drove the initiative of adoption of Superset with non technical users and facilitated the adoption by driving the team to provide documentation, starter dashboards and targeted user workshops- Improved overall stability of the Platform by improving SDLC processes by instituting a process of pre-mortem. Helping the team understand value of right interfaces and abstractions- Instituted a culture of proactive alerting which improved overall production stability- Formed relationship with the users of the platform to understand their short term and long term needs and came up with a strategy to balance technical initiatives and production priorities. Also set and communicate team priorities that support the broader organization\'s goals- Brought about cost efficiency on the platform by improving observability- Encouraged the team to submit summer project proposals, the team ended up getting interns in 2024 and 2025.

EDUCATION

2000 — 2004

Gujarat University

Bachelors, Electronics and Communication

2006 — 2007

University of Pennsylvania

Master's degree, Computer and Information Technology

ABOUT SHALIN S.

I build and lead teams that deliver reliable, scalable data platforms that enable organizations to use data effectively at enterprise scale.I focus on optimizing the entire ecosystem—not just individual systems—by deeply understanding stakeholder needs and taking a long-term view of how platforms should evolve. This allows teams to make pragmatic short-term decisions that compound into durable technology choices and business outcomes.Earlier in my career, I led cloud-native backend platforms and large-scale migrations. That experience continues to shape how I think about platform design, operational tradeoffs, and managing change in complex, high-impact environments.My background spans backend systems, enterprise security platforms, and end-to-end data infrastructure. Across these roles, I’ve focused on building platforms that reduce friction, improve reliability, and create leverage for engineering, analytics, and AI teams.I believe platforms should default to self-service, with guardrails rather than gates—so teams can move quickly without compromising reliability, security, or trust at scale. At their best, platforms earn their value by reducing organizational cost, whether that’s time to market, operational overhead, or the effort required for teams to adopt new capabilities.

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