Salman Dhariwala

CEO

Bengaluru, Karnataka, India10 yrs 11 mos experience

Highly Stable

Key Highlights

Expert in building scalable data platforms.
Led successful Lakehouse architecture migration.
Transitioned from SaaS to in-house data tooling.

Stackforce AI infers this person is a Data Engineering expert in SaaS with a focus on scalable data solutions.

Contact

salmandhariwala@gmail.com LinkedIn

Skills

Core Skills

Data Platform EngineeringData GovernanceData EngineeringData WarehousingAnalyticsBig Data EngineeringMicroservices Development

Other Skills

AirflowAmazon AthenaAmazon Elastic MapReduce (EMR)Amazon RedshiftAmazon S3Amazon Web Services (AWS)Apache FlinkApache IcebergApache KafkaApache SparkApache StormBatch ProcessingBig DataChange Data CaptureDBT

About

I am an experienced data professional with a proven track record in engineering and leadership, driven by a passion for leveraging data to deliver impactful business outcomes. With expertise in designing and implementing scalable data pipelines, data lake/warehouse solutions, and managing BI tools, I specialize in: • Building end-to-end data platforms, including batch and real-time processing systems. • Reverse ETL and developing custom tech frameworks to optimize workflows. • Leading self-serve data platform initiatives and transitioning from SaaS to in-house tooling. I have successfully defined strategic roadmaps for transformative projects, such as migrating to a Lakehouse architecture and preparing data platforms for Data Mesh adoption. Now, I am embarking on an exciting journey at Zscaler, where I am blending my data expertise with the dynamic challenges of cybersecurity. My mission is to empower secure, intelligent solutions that safeguard the digital world and redefine what's possible at the intersection of data and security.

Experience

10 yrs 11 mos

Total Experience

2 yrs 11 mos

Average Tenure

2 yrs 2 mos

Current Experience

Zscaler

Principal Software Development Engineer

Apr 2024 – Present · 2 yrs 2 mos · Bengaluru, Karnataka, India · On-site

Dream11

3 roles

Director of Engineering (Data Platform)

Promoted

Jul 2022 – Apr 2024 · 1 yr 9 mos

Led core Data Platform modules:
Lakehouse Implementation: Successfully deployed Lakehouse using Apache Iceberg, Spark, EMR, S3, and Trino.
Governed Metrics Layer: Designed and implemented Dimensional Data Models using DBT and Spark to standardize and streamline metrics.
Facilitated cross-functional collaboration across data science, data analytics, and digital marketing teams to align on goals and strategies.
Actively contributed to organizational growth through:
Appraisal processes and performance evaluations.
Driving hiring initiatives to build a high-performing team.
Defining and delivering strategic roadmaps for data projects.
Leading incident reviews, knowledge-sharing sessions, and tech branding efforts.
Overseeing sprint planning and execution to ensure timely delivery.

Apache IcebergSparkEMRS3TrinoDBT+2

SDE-3 (Data Platform)

Promoted

Jul 2020 – Jul 2022 · 2 yrs

Led initiatives to decommission SaaS tools and establish self-serve in-house data tooling for user behavior analysis, real-time analytics, user segmentation, and traits engine
Implemented data governance initiatives for PII handling, data asset tracking, lineage, and data sharing strategies between sister companies
Worked on mid-size projects related to fraud detection, reconciliation systems for pay- ments, and provided architectural guidance for projects like connected experiences, in-house communication systems, and more
Created tech frameworks for data ingestion, ETLs, Kafka consumers, event schema management, SQL-based anomaly detection, and more

Data GovernanceUser Behavior AnalysisReal-time AnalyticsData IngestionETLData Platform Engineering

SDE-2 (Data Platform)

Sep 2018 – Jul 2020 · 1 yr 10 mos

Built a versatile data pipeline tool, enabling the seamless movement of data from vari- ous sources (MySQL, Cassandra etc. ) to multiple sinks (MySQL, Redshift etc.)
Implemented Data Warehouse solutions for analyzing transactional data, clickstream data, AWS cost data, finance datasets, security logs, and HR analytics
Worked on batch processing (e.g., user segmentation) and real-time processing (e.g., realtime operational analytics, realtime business KPIs anomaly detection)
Developed Reverse ETL pipelines to securely transfer data to third-party platforms

Data PipelineData WarehouseBatch ProcessingReal-time ProcessingReverse ETLData Engineering+1

Loginext

Senior Data Engineer

Oct 2017 – Sep 2018 · 11 mos · Mumbai Area, India

Implemented 'traccar' realtime data pipelineto collect geo-location data from IoT devices.
Implemented a Kalman filter to detect and adjust bad data points in real-time.
Built customer-facing analytics capabilities by implementing a custom Change Data Capture (CDC) solution and a data aggregation pipeline on the ELK stack.
Developed a web logs analytics solution to detect anomalous web service calls and monitor web service usages.
Built an MVP on Alexa to showcase the usage of AI in the logistics domain.
Developed a small visual analysis tool to map geospatial data points on maps for internal use.

Real-time Data PipelineKalman FilterChange Data CaptureData AggregationWeb Logs AnalyticsData Engineering+1

Indus valley partners

2 roles

Software Engineer

Promoted

Oct 2016 – Oct 2017 · 1 yr · Mumbai Area, India

Involved in various proof-of-concept (POC) projects on big data tech stack and multiple databases
Designed and developed a cloud multi-tenant P&L monitor system for real-time analytics of multi-billion dollar Hedge Funds
Utilized technologies like Apache Storm, Apache Kafka, and MongoDB for the P&L monitor system
Contributed to building microservices using Springboot for Cloud Portfolio Management project

Big DataApache StormApache KafkaMongoDBMicroservicesBig Data Engineering+1