In the data-driven economy of today, enterprises are being increasingly challenged to revamp legacy infrastructure while simultaneously lowering costs and improving agility. With more organizations embracing cloud-native design, the outcomes have been revolutionary, particularly for those who embrace migration as more than a technological shift, but as an operational efficiency lever. In industries such as banking, healthcare, and insurance, where data volume is high and regulatory intensity is strong, strategic cloud migration has become an essential enabler to release both cost savings and speed.
Sushil Kumar Tiwari, a veteran data engineering executive with experience ranging from Fortune 500 customers to international consultancies like Synechron and Wipro, has reportedly spearheaded some of the most successful cloud migration programs over the past several years. His efforts have been central to projects that achieved up to 40% reductions in operational costs, leveraging platforms like Snowflake, AWS Redshift, and serverless architectures. Coming from the expert table, Sushil’s work reflects a deliberate shift away from “lift-and-shift” mindsets, favoring instead a structured, outcomes-first approach that rewires both infrastructure and culture.
One of his most notable projects was the redevelopment of a 30-terabyte Oracle data warehouse for an international insurance company. According to reports, this involved re-engineering more than 2,000 legacy ETL jobs with Informatica IICS and AWS Glue. The implications were extensive: 60% reductions in nightly batch runtimes, and the client saved more than $1 million in infrastructure costs annually. In addition, Sushil introduced sub-second query ability and complete audit traceability, helping directly to support compliance of the client with Solvency II requirements.
To this was added his work with a tier-1 banking client, which brought a hybrid architecture that federated on-premises SQL Server environments with AWS Redshift using a data virtualization layer offered by Denodo. Not only was data refresh time decreased from six hours to ninety minutes but, equally important, there was a 35% reduction in storage costs: and all of this achieved while maintaining conformance to GDPR data residency requirements.
Sushil’s technical expertise is complemented by his focus on team and talent transformation. According to the reports, he led a Cloud Center of Excellence that has trained over 30 engineers in AWS and Snowflake. This effort not only readied teams for future modernization it instilled a cost-saving, performance-oriented culture in global operations. According to the reports, this cultural transformation was instrumental in speeding up future cloud projects and sustaining long-term cost savings.
The influence of his work reaches into real-time analytics too. For a national healthcare organization, Sushil spearheaded the deployment of a serverless ingestion system based on AWS Lambda and Kinesis, coupled with Snowflake’s Tasks and Streams. This enabled live dashboards for monitoring patients and reduced half-manual reporting efforts. The health network, in return, realized $2.3 million in value-based care incentives during its first year after migration.
Challenges have been commonplace, and most often intricate. From managing zero-downtime cut-overs to synchronizing architectures with HIPAA and PCI-DSS compliance requirements, Sushil has always tackled technical and regulatory challenges with accuracy. Apparently, one of his most intricate accomplishments was installing real-time change-data-capture and phased dual-write strategies to prevent even minute disruption during a massive cloud migration. Additionally, legacy systems with no documentation on inter-application dependencies were rationalized through automated mapping and modular refactoring, decreasing workflow complexity by 62%.
Strategically, Sushil opines that enterprise data operations of the future would involve addressing infrastructure as an ongoing product. “Cloud economics should be quantified in terms of dollars saved and revenue unlocked not merely terabytes migrated,” he comments. He promotes a model where performance, spend, and governance are treated as code, with automation and AI being central to optimization.
Where he himself is unassuming in his presentation, what he has produced tells the story. Awarded time and again with “Employee of the Month” and Spot Awards, he has not only achieved high-stakes results but also constructed the frameworks and teams upon which they can be sustained. What his record shows is not only technological competency but an acute comprehension of where data, cloud, and business value converge.
In a world where so many businesses continue to struggle with bloating cloud expenses and stalled transformation efforts, Sushil Kumar Tiwari’s story is a playbook for real change: clear, purposeful, and obsessed with outcomes.
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