Nitin Kumar

Spearheaded strategic engineering programs across Fortune 500 clients, driving enterprise-scale cloud-native platform transformation and revenue-generating data initiatives. Defined and executed comprehensive data and analytics strategies, deploying unified architectures—spanning data lakes, warehouses, and ML platforms—on AWS, Azure, and GCP.Acted as a trusted partner to C-suite executives, translating strategic business objectives into scalable technical roadmaps and outcomes. Oversaw client portfolios exceeding $8M+ in annual revenue while building high-performing engineering teams from scratch (team growth from 5 to 60+ in 3 years). Led talent strategy initiatives including executive hiring, senior mentorship programs, and global organizational scaling across multiple time zones.Drove GTM alignment by ensuring that engineering roadmaps supported measurable business KPIs, product velocity, and competitive differentiation. Fostered a culture of innovation, accountability, and operational excellence across distributed teams.Project Highlight: Architected and delivered a mission-critical, enterprise-scale data lake platform that transformed digital banking operations for multiple financial institutions, enabling data monetization strategies, accelerated customer onboarding processes, and self-service analytics capabilities. Led cross-functional teams to design a configuration-driven, low/no-code framework that reduced implementation timelines by > 80% while providing seamless integration across heterogeneous data sources. Technologies - GCP (Big Query, Composer, Looker, Spark, Dataproc, Python, Pandas

Architected and delivered end-to-end data solutions integrating batch and streaming components to support client digital transformation goals. Managed globally distributed development teams across three continents, accelerating delivery timelines by 20% and ensuring high system resilience for mission-critical infrastructure.Focused on people and process maturity—led technical onboarding for new hires, designed a structured L&D curriculum, and mentored engineers for career growth and performance.Championed Tier-1&2 campus hiring programs, building strong talent pipelines through both in-person and remote recruitment models.Collaborated closely with client-side product and technology stakeholders to understan devolving requirements, develop delivery plans, and iterate on high-impact solutions that enhanced client analytics capabilities and operational agility.Project Highlight: Partnered with a global QSR to transform their customer engagement from generic blanket email campaigns to data-driven 1:1 marketing. Led data engineering efforts ML Model to scale from 48 to 200 campaign variants across 4 campaign cycles.Delivered measurable business impact with ~400 million personalized emails sent over 2.5months, resulting in a 7% sales uplift and improved customer lifetime value through targeted offer optimization Technologies - AWS, Snowflake, Airflow, Python, Spark, Braze

Spearheaded the strategic transformation of Cross Investment Banking, the enterprisewide central data warehouse serving as the authoritative source for equities and derivatives analytics across all lines of business, directly supporting critical client value propositions and regulatory reporting for global markets operations. Project Highlight : Led comprehensive re-architecture initiative that modernized legacy ETL infrastructure, migrating from traditional batch processing to same-day reporting capabilities using cutting-edge big data technologies. Designed and validated proof-of-concept for near real-time streaming analytics leveraging Spark Streaming, positioning the organization for high speed trade reconciliations and settlement process in future. Technologies :Apache Spark, Hadoop, CDH, SparkSQL, Spark Streaming,Kafka, Protobuf.

Contributed to the design and delivery of a cost-efficient reference data platform that integrated and cleansed vendor and exchange data sources using rules-based processing and automated integrity checks, enhancing data quality and consistency across financial systems. Technologies : Java, J2EE, Spring, SQL, Oracle

Delivered technology solutions for Prime Brokerage specializing in multi-asset class reporting, portfolio accounting, and reconciliation systems for hedge funds. Applied deep technical expertise in Java, DB2/Sybase, MQ, XML, JSP, and Servlets to build scalable, highperformance platforms supporting critical financial operations. Technologies : Java, J2EE, Spring, SQL, Sybase,Servlets,JSP, DB2

Designed and developed enterprise-grade risk and compliance solutions, including the Global Risk Management System (GRMS) and AML Dashboards, to enhance visibility into credit exposure and financial compliance across regions (US, EMEA, Japan). Delivered robust, data-driven platforms that enabled risk teams and business leaders to monitor exposure and align operations with strategic and regulatory objectives. Technologies : Java, SQL, Oracle