Telegram RegisterThe public register of Telegram

Channel

дата инженеретта

@data_engineerette

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

3,406subscribers

+2 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1002065833125
TypeChannel
Username@data_engineerette
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 10 August 2026
On Telegramt.me/data_engineerette

Growth

3,4043,4063,4057 August 2026 — 3,404 subscribers7 August 2026 — 3,404 subscribers10 August 2026 — 3,406 subscribers7 August 202610 August 2026
3 measurements spanning 4 days, net +2. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 3,404–3,406 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 22:243,406+2
7 Aug 2026, 12:433,404no change
7 Aug 2026, 02:163,404first reading

Engagement

14 posts held, back to 1 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
44.4%
avg views ÷ 3,406 subscribers
Avg views / post
1,510
4 posts measured
Reaction rate
1.60%
reactions ÷ views · ER floor
Posts in window
4
of 14 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 6 August 2026
Posts held14 (1 June 20266 August 2026)
Views total6,051
Reactions total97
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:24 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

405 reactions across 14 posts, in 10 distinct kinds. The most used accounts for 42.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁17042.0%
👍5914.6%
5012.3%
🔥409.88%
🤔286.91%
💅194.69%
🌚184.44%
custom 5447183828969859694122.96%
😭81.98%
🤷10.247%

Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 14 of the 14 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 405reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 1 June 2026 to 6 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 14 we hold a reading for · 7%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @data_engineerette. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 14 most recent posts we hold for this entry, published 1 June 2026 to 6 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

6 Aug 2026, 04:43 UTC821 views15 reactionsread 7 August 2026
Photo

Ребят, а тут есть такие, кто идет на дата конфу в Лондоне? https://www.bigdataldn.com Она бесплатная, нужно просто прилететь🙂 По темам очень похоже: лейкхаус, AI агенты, data fabric, data governance. И сессии от топовых компаний: Databricks, Microsoft, Google, JetBrains, dbt Labs, Snowflake… Я вот зарегалась и даже на некоторое время задумалась над подачей визы🤭 Но потом как вспомнила, что ИМЕННО В ЭТИ ДАТЫ у меня

😁13💅2

3 Aug 2026, 05:35 UTC≈1,090 views7 reactionsread 7 August 2026
Photo

Более 30 лидеров IT-индустрии поделятся практическим опытом управления командами, отдельными сотрудниками и ИИ-агентами — на конференции для тимлидов TEAM LEAD TODAY 2026. Мероприятие пройдет 10 сентября в Москве (ВДНХ, Бизнес.Техноград). В числе спикеров — эксперты компаний Сбер, Газпромнефть, Альфа Банк, Гринатом, Шереметьево Хэндлинг, Билайн, Positive Technologies, Skillaz, Herbarium Games и многих других. 500+

🔥3🌚2👍1🤷1

30 Jul 2026, 11:23 UTC≈1,790 views54 reactionsread 7 August 2026
Photo

пупупу у меня всего 9 с половиной😚

😁477

24 Jul 2026, 06:55 UTC≈2,350 views21 reactionsread 7 August 2026
Photo

Отгадайте с первой попытки, за какой это было период и что случилось😁😁 @data_engineerette

🌚12😁5💅2custom 54471838289698596942

14 Jul 2026, 14:46 UTC≈2,540 views41 reactions1 Starread 7 August 2026

Сеньорские вопросы 🤵 Чем круче вы становитесь, чем в более highload сторону вы идете, чем быстрее развиваются ллмки, тем вопросики к вам становятся все серьезнее Собрала для вас подборку таких вопросов по технологиям: ✨ Spark Из чего состоит executor memory? Что такое spark.memory.storageFraction? В чем разница между Sort-Merge Join и Broadcast на маленькой таблице? Каким образом уменьшить количество шафла? Зачем

👍248🤔4🌚3😁1custom 54471838289698596941

9 Jul 2026, 06:16 UTC≈2,280 views28 reactionsread 7 August 2026
Photo

Всем привет! Возвращаюсь на связь, на прошлой неделе была в отпуске😌 А пока на нашем рынке я такого не видела, но на зарубежном после HR-интервью присылается очень подробное и информативное саммари: о чем говорили, что нужно спросить в следующий раз, ваши плюсы/минусы, соответствие вакансии @data_engineerette

👍205💅2🌚1

24 Jun 2026, 16:42 UTC≈2,440 views66 reactionsread 7 August 2026
Photo

Кажется, я уработалась😕 Это моя первая мысль, как только я села в такси

😁52😭86

23 Jun 2026, 07:05 UTC≈2,420 views2 reactionsread 7 August 2026
Photo

Раскрываю тайну Наверняка у многих был такой момент, что вы заходите в YARN, находите Hive-запрос, хотите в него провалиться, но Tez UI недоступен? Теперь вы знаете, как он выглядит @data_engineerette

🤔2

17 Jun 2026, 06:50 UTC≈2,550 views21 reactionsread 7 August 2026
Photo

Data + AI 🍿 Вчера-сегодня проходит Data + AI Summit от Databricks. Основная суть — как работать с данными в эру AI, реклама собственных разработок, интервью с партнерами и крупными пользователями, кейсы применения сервисов Меня больше всего поразило — как они красиво говорят, у них такая чистая четкая речь и акцент, как на аудировании😍 И больше 30к людей в офлайне!! Есть очень много интересных моментов, которые я

🔥95💅4custom 54471838289698596943

16 Jun 2026, 11:08 UTC≈2,070 views25 reactionsread 7 August 2026

Hive vs HMS HMS - Hive Metastore Я долгое время вообще не знала про существование HMS. Для меня HMS и Hive шли неразрывно, и я не отличала одно от другого. Я же такая не одна, да?🌸 Но в один момент до меня дошло, что: 🤩Hive - это движок, который через синтаксис SQL (HiveQL) умеет ходить к данным. Мы пишем запросы как будто в обычной бд, но они становятся MapReduce/Tez/Spark задачами и ходят в файлики 🤩HMS - это

🔥9👍8custom 544718382896985969462

11 Jun 2026, 07:05 UTC≈4,620 views50 reactionsread 7 August 2026

AI-эра тех собесов 💻 Теперь вместе с sql/python-задачками на тех собесе могут дать создание мини-проекта за 20 минут Разрешается использовать все, что угодно, любые ллм. (Только подумайте над тем, что будет работать, когда вы на созвоне на внутренней платформе.) Есть только одно условие — шерить экран Примеры заданий ➡️Для де: написать ddl таблиц, sql-запросы по сборке витрин, несколько дагов ➡️Для разраба: прид

🤔22🔥177😁4

8 Jun 2026, 12:40 UTC≈2,390 views16 reactionsread 7 August 2026
Photo

ClickOps Мне тут пришло в голову покопаться в сервисах AWS и поделать какие-нибудь лабы. На ютубе довольно много видосов от индусов (и не только) на эту тему, я в итоге решила посмотреть вот этот 4х-часовой туториал с пет-проектом 🎙 Там парень очень понятно рассказывает про теорию и сервисы, показывает, как что делать. К акценту надо привыкнуть, но вроде норм) Говорит он супер быстро, как будто на x1.5 смотришь. Од

8💅8

Showing the 12 most recent of 14 posts we hold for @data_engineerette. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 386,597 of 1,183,361entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 5 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 10 August 2026 — this entry's latest reading, not the date you are reading this.

“дата инженеретта” (@data_engineerette), 3,406 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/data_engineerette.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.