Abhishek Dixit

Product Manager

Bengaluru, Karnataka, India12 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led ML-based workload optimization reducing costs by 20%.
Defined autoscaling strategy for Spark, enhancing reliability.
Successfully launched Single-Node Spark Clusters, cutting costs by 66%.

Stackforce AI infers this person is a Big Data Product Manager with strong expertise in SaaS solutions.

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Skills

Core Skills

Big DataProduct ManagementSoftware DevelopmentEquity ResearchEconometrics

Other Skills

HadoopApache SparkMicrosoft FabricAzure SynapseSparkMachine LearningCost OptimizationApache Spark StreamingAWS EC2MatlabMicrosoft ExcelMicrosoft WordShell ScriptingScalaJava

About

Senior Product Manager at Microsoft with 7+ years of experience in large-scale data and analytics platforms (Cosmos, Synapse, Fabric). Combines deep technical expertise in Spark and distributed systems with product strategy and customer engagement to drive performance optimization, platform reliability, and cost efficiency

Experience

Microsoft

Senior Product Manager (prev. Senior Software Engineer)

Feb 2021 – Present · 5 yrs 1 mo · Bengaluru, Karnataka, India · On-site

Product Focus Areas: Spark Autoscaling, Cost Optimization, Cluster UX, Big Data Infrastructure,
Workload Optimization, Machine Learning Integration (Cosmos, Synapse, Fabric)
○ Lead execution and delivery of ML-based workload optimization features in Cosmos Analytics
including Early Token Release, Auto Token, and Variable Token Accounting — achieving a
20% reduction in customers' Big Data Analytics COGS.
○ Partnered with internal customers including Office and Bing to identify usage bottlenecks, gather
feedback, and validate feature impact on large-scale analytics workloads.
○ Defined autoscaling strategy for Spark on Fabric, aligning with COGS and reliability goals.
○ Led development of autoscaling algorithms, reducing scaling costs by 22%.
○ Launched Single-Node Spark Clusters in Microsoft Fabric, reducing platform COGS by 66%.
○ Led onboarding and validation with clients including G42 and Societe General Insurance.
○ Championed UX tooling that reduced support ticket resolution time by 36%.
○ Built a framework to identify missed scaling opportunities and analyze latency; enabled internal
alerting and diagnostics

HadoopBig DataApache SparkMicrosoft FabricAzure SynapseProduct Management

Qubole

Software Engineer II

Jul 2018 – Nov 2020 · 2 yrs 4 mos · Bengaluru, Karnataka, India · On-site

Product Focus Areas: Real-time Streaming, Cluster Efficiency, Developer Tools
○ Product owner for Qubole Pipelines; led from beta to GA, earning Spotlight Award.
○ Delivered core features like Test Runs, Record Filtering, Health Monitoring—used by all customers.
○ Added SQS-based faster S3 reads and Hive sink, used by 30%+ of pipelines.
○ Analyzed EC2 instance usage to optimize default configs—migrated r3 to r5, reducing customer
costs by 26%.
○ Onboarded clients including CVS, WWE, and Angel Broking; integrated early feedback into
feature roadmap.

Big DataApache Spark StreamingAWS EC2Software Development

Msci inc.

Quantitative Equity Research Intern

Jan 2018 – Jun 2018 · 5 mos · Mumbai

Worked as an intern in New Product Development (Index Research) Team

MatlabEquity Research

Qubole

Software Development Intern

Jul 2017 – Dec 2017 · 5 mos · Bengaluru, Karnataka, India

○ Developed Structured Streaming User Interface for Apache Spark
○ Integrated Prometheus Monitoring Framework with Qubole Data Services

Indian institute of technology, kanpur

Research Intern

May 2016 – Jul 2016 · 2 mos · Greater Lucknow Area

○ Worked under Dr. Debayan Pakarashi, Professor of Behavioral Economics in IIT Kanpur
○ Worked on a research paper to estimate the impact of peer effects on health and obesity outcomes for college students in India.

Econometrics

National center for antarctic and ocean research

Software Development Intern

May 2015 – Jul 2015 · 2 mos · Goa, India

○ Worked in Information Communication & Technology Division of NCAOR
○ Developed an online system for vendor registration and purchase requsiition for NCAOR.

Jiva institute

Business Analyst Intern

Jun 2011 – Feb 2016 · 4 yrs 8 mos · Faridabad, Haryana, India

○ Worked under Mr. Steven Rudolph, an educational consultant presently based in US.
○ Periodically reviewed Mr. Steven Rudolph’s psychometric tool, Multiple Natures, undertaking a variety of reviews likemarket studies, analysis of the business model, and user interface and user experience design analysis.