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	<title>culture &#8211; Noise</title>
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	<description>The collective thoughts of the interwebz</description>
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		<title>Data Engineers of Netflix — Interview with Pallavi Phadnis</title>
		<link>https://noise.getoto.net/2021/10/28/data-engineers-of-netflix%e2%80%8a-%e2%80%8ainterview-with-pallavi-phadnis/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Thu, 28 Oct 2021 17:30:19 +0000</pubDate>
				<category><![CDATA[Big Data]]></category>
		<category><![CDATA[culture]]></category>
		<category><![CDATA[data]]></category>
		<category><![CDATA[data-engineering]]></category>
		<category><![CDATA[Technology]]></category>
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					<description><![CDATA[Data Engineers of Netflix — Interview with Pallavi PhadnisThis post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix.Pallavi Phadnis is a Senior Software Engine...]]></description>
		
		
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			</item>
		<item>
		<title>The secret to Cloudflare’s pace of Innovation</title>
		<link>https://noise.getoto.net/2021/10/03/the-secret-to-cloudflares-pace-of-innovation/</link>
		
		<dc:creator><![CDATA[Jen Taylor]]></dc:creator>
		<pubDate>Sun, 03 Oct 2021 12:59:16 +0000</pubDate>
				<category><![CDATA[Birthday Week]]></category>
		<category><![CDATA[culture]]></category>
		<category><![CDATA[innovation]]></category>
		<category><![CDATA[Life @ Cloudflare]]></category>
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					<description><![CDATA[How do we get so much stuff out so quickly? That we are able to innovate — and innovate so quickly — is no happy accident. In fact, this capability has been very deliberately built into the DNA of Cloudflare.]]></description>
		
		
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		<title>Data Engineers of Netflix — Interview with Kevin Wylie</title>
		<link>https://noise.getoto.net/2021/07/15/data-engineers-of-netflix%e2%80%8a-%e2%80%8ainterview-with-kevin-wylie/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Thu, 15 Jul 2021 14:15:59 +0000</pubDate>
				<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Big Data]]></category>
		<category><![CDATA[culture]]></category>
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					<description><![CDATA[Data Engineers of Netflix — Interview with Kevin WylieThis post is part of our “Data Engineers of Netflix” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix.Kevin Wylie is a Data Engineer on the Content D...]]></description>
		
		
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		<title>Data Engineers of Netflix — Interview with Dhevi Rajendran</title>
		<link>https://noise.getoto.net/2021/06/02/data-engineers-of-netflix%e2%80%8a-%e2%80%8ainterview-with-dhevi-rajendran/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Wed, 02 Jun 2021 01:17:13 +0000</pubDate>
				<category><![CDATA[Big Data]]></category>
		<category><![CDATA[culture]]></category>
		<category><![CDATA[data]]></category>
		<category><![CDATA[data-engineering]]></category>
		<category><![CDATA[Remote Working]]></category>
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					<description><![CDATA[Data Engineers of Netflix — Interview with Dhevi RajendranDhevi RajendranThis post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix.Dhevi Rajendran is...]]></description>
		
		
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		<title>Data Engineers of Netflix — Interview with Samuel Setegne</title>
		<link>https://noise.getoto.net/2021/06/02/data-engineers-of-netflix%e2%80%8a-%e2%80%8ainterview-with-samuel-setegne/</link>
		
		<dc:creator><![CDATA[Netflix Technology Blog]]></dc:creator>
		<pubDate>Wed, 02 Jun 2021 01:16:43 +0000</pubDate>
				<category><![CDATA[Big Data]]></category>
		<category><![CDATA[culture]]></category>
		<category><![CDATA[data-engineering]]></category>
		<category><![CDATA[data-tools]]></category>
		<category><![CDATA[developer-productivity]]></category>
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					<description><![CDATA[Data Engineers of Netflix — Interview with Samuel SetegneSamuel SetegneThis post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix.Samuel Setegne is a ...]]></description>
		
		
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		<title>Rowling is dangerously wrong</title>
		<link>https://noise.getoto.net/2020/06/11/rowling-is-dangerously-wrong/</link>
		
		<dc:creator><![CDATA[Eevee]]></dc:creator>
		<pubDate>Thu, 11 Jun 2020 18:15:00 +0000</pubDate>
				<category><![CDATA[blog]]></category>
		<category><![CDATA[culture]]></category>
		<category><![CDATA[gender]]></category>
		<category><![CDATA[personal]]></category>
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					<description><![CDATA[<p>I read <span class="caps">J.K.</span> Rowling’s <a href="https://www.jkrowling.com/opinions/j-k-rowling-writes-about-her-reasons-for-speaking-out-on-sex-and-gender-issues/">essay</a>.</p>
<p>I regret doing so.</p>
<p>Here are some thoughts.  Trans readers, brace yourselves, especially if you didn’t read the original.</p>
<p>Some help came from <a href="https://twitter.com/Carter_AndrewJ/status/1270787941275762689">Andrew James Carter’s response thread</a>, which has many more citations but feels less compelling to a general audience to me.</p>]]></description>
		
		
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