Find 37,000+ Stream Processing Framework Developer Leads (Apache Flink/Kafka Streams/Spark Structured Streaming developers, stateful stream computation engineers, exactly-once processing guarantee implementers, real-time data transformation pipeline builders) Leads on GitHub

GitLeads monitors GitHub stars, forks, issues, and keyword signals to surface Stream Processing Framework Developer Leads (Apache Flink/Kafka Streams/Spark Structured Streaming developers, stateful stream computation engineers, exactly-once processing guarantee implementers, real-time data transformation pipeline builders) leads who are actively building — right when they're most likely to buy your developer tool. Turn GitHub activity into pipeline.

Find Stream Processing Framework Developer Leads (Apache Flink/Kafka Streams/Spark Structured Streaming developers, stateful stream computation engineers, exactly-once processing guarantee implementers, real-time data transformation pipeline builders) Leads Free →View Pricing
37,000+
Stream Processing Developers indexed
14
GitHub signals tracked
73%
Avg email find rate
500+
New leads per day

Sample Stream Processing Developers — Live from GitHub

Emails partially redacted. Sign up free to reveal contact details and start outreach.

DeveloperGitHub StarsReposLocationEmail
Alex Chen
@alexchen
Open source enthusiast. Building developer tools.
2,84034San Francisco, CAa***@gmail.comReveal →
Sarah K.
@sarahk_dev
Full-stack dev. Loves OSS and clean APIs.
1,19021Berlin, Germanys***@proton.meReveal →
Marcus T.
@marcust
Maintainer of several popular libraries.
3,47058Toronto, Canadam***@outlook.comReveal →
Priya R.
@priyaR
Engineer at a Series B SaaS startup.
89016Bangalore, Indiap***@gmail.comReveal →
Jordan M.
@jmdev
DevRel engineer. Writes about DX and tooling.
4,12047Austin, TXj***@hey.comReveal →
Unlock All 37,000+ Stream Processing Developers — Free

How GitLeads Finds Stream Processing Framework Developer Leads (Apache Flink/Kafka Streams/Spark Structured Streaming developers, stateful stream computation engineers, exactly-once processing guarantee implementers, real-time data transformation pipeline builders) Leads on GitHub

STEP 01

GitHub Signal Detection

We continuously index GitHub repositories tagged with Stream Processing Framework Developer Leads (Apache Flink/Kafka Streams/Spark Structured Streaming developers, stateful stream computation engineers, exactly-once processing guarantee implementers, real-time data transformation pipeline builders)-related topics. Stars, forks, new issues, and README keywords all fire signals.

STEP 02

Developer Profiling

Each developer's activity is scored by recency, influence (stars earned), and project relevance. You get leads ranked by likelihood to engage.

STEP 03

Contact Enrichment

We cross-reference public commit metadata, README contact sections, and linked social profiles to find verified email addresses.

STEP 04

Pipeline & CRM Export

Export leads to CSV, push to HubSpot, Salesforce, or Pipedrive, or use our REST API. Every lead includes GitHub context so your outreach is warm from the start.

Who Uses GitLeads for Stream Processing Framework Developer Leads (Apache Flink/Kafka Streams/Spark Structured Streaming developers, stateful stream computation engineers, exactly-once processing guarantee implementers, real-time data transformation pipeline builders) GitHub Leads?

FAQ: GitHub Leads for Stream Processing Framework Developer Leads (Apache Flink/Kafka Streams/Spark Structured Streaming developers, stateful stream computation engineers, exactly-once processing guarantee implementers, real-time data transformation pipeline builders)

How many Stream Processing Developers are on GitHub?

Our index currently tracks over 37,000 Stream Processing Developers with verifiable activity in the last 90 days. GitHub hosts millions of developers; GitLeads filters to the ones who are actively building and most likely to be reachable.

How does GitLeads find Stream Processing Framework Developer Leads (Apache Flink/Kafka Streams/Spark Structured Streaming developers, stateful stream computation engineers, exactly-once processing guarantee implementers, real-time data transformation pipeline builders) developer emails?

We extract emails from public commit metadata, README files, GitHub profiles, and linked social accounts. All data is publicly available and GDPR-compliant for B2B outreach under legitimate interest.

Can I filter Stream Processing Developers by location, stars, or company?

Yes. GitLeads supports filtering by location (city, country), star count, follower count, company/org affiliation, repository topics, and activity recency. Build hyper-targeted lists in minutes.

How often is the Stream Processing Framework Developer Leads (Apache Flink/Kafka Streams/Spark Structured Streaming developers, stateful stream computation engineers, exactly-once processing guarantee implementers, real-time data transformation pipeline builders) developer list updated?

Our GitHub crawler runs continuously. New developers who star or fork a Stream Processing Framework Developer Leads (Apache Flink/Kafka Streams/Spark Structured Streaming developers, stateful stream computation engineers, exactly-once processing guarantee implementers, real-time data transformation pipeline builders) repository are added to your pipeline within 24 hours.

Start Finding Stream Processing Framework Developer Leads (Apache Flink/Kafka Streams/Spark Structured Streaming developers, stateful stream computation engineers, exactly-once processing guarantee implementers, real-time data transformation pipeline builders) Leads on GitHub Today

50 free leads every month. No credit card required. Export to CSV or push directly to your CRM.

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