Dineshkarthik Raveendran

Product Manager

Berlin, Berlin, Germany11 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Over a decade of experience in data strategies.
  • Expert in building scalable data platforms.
  • Proven track record in team leadership and innovation.
Stackforce AI infers this person is a Data Engineering and Analytics expert in the SaaS industry.

Contact

Skills

Core Skills

Data GovernanceLeadershipTeam LeadershipData EngineeringData PrivacyProduct ManagementData Visualization

Other Skills

A/B TestingAI for LeadershipAWS GlueAgentic AIAmazon AthenaAmazon RedshiftAmazon Web Services (AWS)Apache AirflowApache KafkaApache SparkArtificial Intelligence (AI)Artificial Intelligence for BusinessBusiness InnovationBusiness ProcessClickHouse

About

A seasoned data professional with over a decade of experience in driving data strategies, building scalable platforms, and delivering actionable insights to optimise business performance. Expertise spans the full spectrum of data engineering, analytics, and team leadership, with a proven track record of aligning data initiatives to business objectives and fostering a culture of innovation and collaboration. Skilled in leveraging advanced big data technologies, cloud platforms, and visualisation tools to design and implement impactful data solutions. Adept at managing cross-functional teams, mentoring talent, and presenting insights to executive leadership to support strategic decision-making. Passionate about transforming data into a key business asset by developing robust data roadmaps, optimising pipelines, and embedding a data-first approach across organisations. Known for delivering measurable results by bridging the gap between technology and business needs, ensuring organisations stay ahead in a data-driven world.

Experience

11 yrs 6 mos
Total Experience
1 yr 7 mos
Average Tenure
4 yrs 9 mos
Current Experience

Tesla

3 roles

Manager, Data Engineering & Analytics

Promoted

Sep 2024Present · 1 yr 8 mos · Berlin, Germany

LeadershipAgentic AIData GovernanceStrategic Data LeadershipTechnical LeadershipData Strategies+1

Staff Data Engineer | Engineering Manager

Mar 2023Sep 2024 · 1 yr 6 mos · Berlin, Germany

Team LeadershipData GovernanceData StrategiesTechnical LeadershipData PrivacyProduct Management+4

Senior Data Engineer

Aug 2021Mar 2023 · 1 yr 7 mos · Berlin, Germany

VerticaData EngineeringSQLData GovernanceKubernetesData Strategies+12

Sennder

Senior Data Engineer

Mar 2021Jul 2021 · 4 mos · Berlin, Germany

Data EngineeringSQLData GovernanceKubernetesData PrivacyAmazon Web Services (AWS)+7

Zalando

Senior Data Engineer

Jan 2020Feb 2021 · 1 yr 1 mo · Berlin Area, Germany

  • Building and improving a configuration-based format for managing our complex data pipelines​ ​in Apache Airflow - Declarative Data Pipeline Definition.
  • Data Pipeline built using Apache Airflow, Databricks, Apache Spark, Amazon Deequ, AWS Redshift.
DatabricksData EngineeringSQLKubernetesData PrivacyAmazon Web Services (AWS)+9

Spark networks

Data Engineer

Sep 2019Dec 2019 · 3 mos · Berlin Area, Germany

Data EngineeringSQLKubernetesData PrivacyAmazon Web Services (AWS)Python+4

Stylight

Data Engineer

Feb 2018Aug 2019 · 1 yr 6 mos · Munich Area, Germany

  • Responsible for all the data pipelines, ETLs owned by the team. Develop and maintain workflow management using Apache airflow. Responsible for data warehouse - redshift along with related internal data warehouse. Worked on upgrading to Data-Lake, Amazon Athena, Glue.
  • Deployed numerous docker containers in kubernetes using Helm, CircleCI used for continuous integration.
  • Evangelized best practices of data processing as well as educating other developers within the company on the topics related to Data Platform products.
Google BigQueryAWS GlueData EngineeringSQLData GovernanceKubernetes+12

The viral fever

Senior Software Engineer - Data Platform

Jan 2017Jan 2018 · 1 yr · Chennai

  • As a senior software engineer focused on BI and Data, responsible​ for analysing​ data​ and providing meaningful insights​ , develop reporting for cross functional use within the company; acted as default point of contact for internal stakeholders regarding data insights; Primary tools were Python (particularly Pandas, Numpy, Scipy, Matplotlib, internally-developed libraries, and the iPython Notebook framework), SQL.
  • Worked closely with the Engineering (Product) team to create data sources for BI use, providing high-level architecture of the data necessary to efficiently query the information required by internal projects.
  • Developed​ and maintained data pipeline, primary tools were Python, PySpark, Kafka, Presto, Kibana. Built recommendation​ ​ engine​ ​ to​ ​ enhance​ ​ user​ ​ experience using PySpark. Wrote ETL programs and services to consume data from databases.
Data EngineeringSQLData GovernanceData PrivacyAmazon Web Services (AWS)Product Management+9

Gramener

Data Specialist

Aug 2016Jan 2017 · 5 mos · Hyderabad Area, India

  • - Responsible​ ​ for​ ​ developing​ ​ and​ ​ deploying​ various​ Data​ ​ Visualization​ ​ dashboards​ ​ for​ ​ different client​ s.​ ​ Python being​ ​ used​ ​ as​ ​ back-end,​ ​ visualizations​ ​ using​ ​ D3.js​ ​ and​ dashboards​ ​ made using​ Bootstrap, jQuery,​ Underscore.js. Assist in training and on-boarding of new team members. Developed web services and applications in a variety of frameworks such as Flask and Tornado.
Data EngineeringSQLData GovernanceData PrivacyAmazon Web Services (AWS)Product Management+10

Tata consultancy services

Software Engineer - Analytics & BI

Mar 2014Jul 2016 · 2 yrs 4 mos · Chennai Area, India

  • Responsible for ensuring code-quality and performance of all the analytics related features in the Enterprise social​ collaboration​ platform​ ​ owned​ ​ by​ ​ the​ team. Involved in development of multiple analytic products and POCs that are built from time to time.
  • Generation of automated and manual Reports for internal stockholders within the organisation, using python packages such as Pandas, Numpy, Matplotlib and R. Report generated in the form​ of​ ​ pivot​ ​ tables​ ​ in spreadsheets​ and​ ​ charts​ ​ in​ ​ PDF.
  • Built​ a standalone​ one​ place​ analytics dashboard using Apache Spark for enterprise level​ communication and collaboration​ application.​ Technologies involved Apache Spark – Spark Streaming,​ Amazon​ Kinesis​ Streams, Redis.
  • Developed tools in multiple languages such as Ruby, Python and SQL to automate ETL tasks, wrote internal libraries in Python & Ruby to assist ETL. Built various Visualization dashboards using D3.js, Ruby-on-Rails and using visualisation tool like Tableau.
Data EngineeringSQLAmazon Web Services (AWS)PythonD3.jsLinux+3

Education

Anna University Chennai

Bachelor of Engineering (B.E.) — Computer Science

Jan 2009Jan 2013

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