Rishabh Ojha

Business Development Executive

Bengaluru, Karnataka, India6 yrs 5 mos experience

Key Highlights

  • Expert in designing scalable data pipelines.
  • Reduced data latency by 65% through optimized ETL processes.
  • Proficient in real-time analytics solutions using Python and AWS.
Stackforce AI infers this person is a SaaS Data Analytics Engineer with expertise in ETL and real-time data solutions.

Contact

Skills

Core Skills

Data AnalysisEtlCloud-native AnalyticsData Transformation

Other Skills

SQLPythonData Pipeline TechnologiesAWS CDKLambdaGlueAthenadbtGoogle BigQueryJupyterLabGoogle SGoogle Data StudioMicrosoft OfficeMicrosoft ExcelMicrosoft PowerPoint

About

Results-driven Analytics Engineer with expertise in designing scalable data pipelines, reducing latency, and ensuring data correctness. Proficient in Python, SQL, and AWS, with a track record of optimizing ETL processes, developing robust data models, and implementing real-time analytics solutions. Experienced in leading analytics initiatives, collaborating cross-functionally, and driving data-driven optimizations for business growth

Experience

6 yrs 5 mos
Total Experience
1 yr 3 mos
Average Tenure
--
Current Experience

Kerneldao

Lead Data Analyst

Jan 2024Jan 2026 · 2 yrs · Remote · Remote

  • Led comprehensive analytics engineering initiatives leveraging expertise in Data Analysis, SQL,
  • Python, and data pipeline technologies.
  • Spearheaded the design and implementation of scalable ETL processes, significantly reducing data
  • availability latency by 65% and enabling near-real-time reporting.
  • Developed robust data models with a focus on data quality, lineage, and auditability to support
  • executive dashboards and experimentation.
  • Engineered high-performance Python pipelines utilizing advanced techniques to process large
  • datasets efficiently, resulting in a 70% reduction in computation time.
  • Established internal data APIs and services on AWS to provide curated datasets and metrics for real-
  • time dashboards and operational decision-making.
  • Implemented a unified behavioral analytics stack to enable in-depth user-level analysis, funnel
  • tracking, and KPI monitoring across multiple products.
Data AnalysisSQLPythonETLData Pipeline Technologies

Stader labs

Data Analyst

Nov 2022Jan 2024 · 1 yr 2 mos · Remote

  • Utilized AWS CDK, Lambda, Glue, and Athena to develop and manage cloud-native analytics
  • pipelines for automated ingestion and transformation of transactional data at scale.
  • Constructed and oversaw executive-level analytical dashboards to provide insights into key
  • performance metrics, yield attribution, and campaign ROI for leadership and stakeholders.
  • Spearheaded the re-architecture of reward computation and disbursement workflows, streamlining
  • processes through deterministic data pipelines and reducing operational effort by 75%.
  • Integrated diverse data sources such as GraphQL APIs, RPC endpoints, and REST services into
  • standardized warehouse schemas to ensure uniform metrics and dependable downstream reporting.
  • Implemented KPI monitoring, anomaly detection, and Slack-based alerting systems to enhance data
  • reliability, incident detection, and response times for critical business metrics.
  • Collaborated as the embedded analytics partner for product, marketing, and engineering teams,
  • translating product modifications and campaign objectives into quantifiable metrics and decision-
  • ready datasets.
AWS CDKLambdaGlueAthenaData AnalysisCloud-native Analytics

Quizizz

Data / Product Analyst

Dec 2021Jun 2022 · 6 mos · Bengaluru, Karnataka, India

  • Conducted comprehensive data analysis utilizing SQL and Python to evaluate teacher and student
  • engagement in the SEA and North America regions, generating actionable insights.
  • Developed and managed dbt transformation models in BigQuery to produce optimized,
  • performance-driven datasets for downstream analytics.
  • Formulated dimensional datasets and segmentation frameworks based on region, language, and
  • device to facilitate cohort analysis, retention monitoring, and market-specific performance
  • assessment.
  • Collaborated cross-functionally with Sales, Engineering, and Leadership to translate business
  • inquiries into well-defined metrics, dashboards, and analytical results.
  • Led the end-to-end analytics delivery process, encompassing requirements gathering, metric
  • definition, validation, and stakeholder communication.
  • Created and maintained interactive dashboards using Hex and Google Data Studio to empower non-
  • technical stakeholders with self-serve analytics capabilities, expediting decision-making processes.
SQLPythondbtGoogle BigQueryData AnalysisData Transformation

Mobile premier league (mpl)

2 roles

Senior Data Analyst

Promoted

Dec 2020Nov 2021 · 11 mos

  • Led analytics and data infrastructure for the successful launch of two consumer products,
  • collaborating with engineering, marketing, and external stakeholders to establish key metrics,
  • instrumentation, and reporting mechanisms.
  • Developed comprehensive user behavior tracking systems, including event schemas, funnel
  • definitions, spending analysis, and feature adoption metrics.
  • Enhanced ETL pipelines to handle high-volume event data, resulting in a 7× runtime improvement
  • and overcoming bandwidth limitations for timely dataset availability.
  • Created market analysis and projection models to inform go-to-market strategies, launch
  • sequencing, and performance benchmarks.
  • Implemented automated real-time and batch reporting/alerting systems utilizing BI APIs integrated
  • with Slack/Flock, enhancing operational visibility and incident response efficiency during peak launch
  • periods.
  • Monitored core KPIs continuously, conducted root-cause analyses on funnel drop-offs, and drove
  • data-driven optimizations leading to a 12% increase in sign-up conversion and a 6% enhancement in
  • user retention.

Product Analyst

Sep 2019Nov 2020 · 1 yr 2 mos

  • Developed and automated SQL- and Python-based ETL pipelines to streamline data ingestion,
  • transformation, and reporting processes, enhancing analyst productivity by approximately 30%.
  • Conducted in-depth exploratory and cohort analysis on user behavior, promotion ROI, segmentation,
  • and new-user retention to drive growth and monetization strategies.
  • Created and managed KPI frameworks and validation procedures by integrating behavioral analytics
  • with competitive market insights to support executive decision-making.
  • Spearheaded the standardization of analytics processes across various business units, enhancing
  • data consistency, reliability, and reusability for analysts and managers.
  • Implemented scalable reporting and dashboard solutions for real-time monitoring of business
  • performance during peak traffic periods.
  • Authored a comprehensive analytics playbook outlining ETL architecture, metric definitions, and
  • dashboard best practices to accelerate onboarding and operational decision-making.

Reliance industries limited

Graduate Engineering Trainee

Aug 2018Apr 2019 · 8 mos · Jamnagar Gujarat

  • Learned and understood the plant activities and regular operation.
  • Managed the workforce and took care of proper documentation.
  • Took Parallel charge with a SFE ( Shift field engineer)
  • Took care of all the required safety and time compliance of the job issued for the day.
  • Worked on MS Visio to make a outline of procedures to follow during Emergency scenario regarding metal fires.

Education

Indian Institute of Technology, Roorkee

Bachelor of Technology — Chemical Engineering

Jan 2014Jan 2018

Kendriya Vidyalaya

10th — General Studies

Jan 2010Jan 2011

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