Current Employment Status:
Hired Full Time on Dec 8, 2022

Arvin

Data Automation Expert | Amazon SP-API, BigQuery & Looker Studio

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Overview

Looking for part-time work (4 hours/day)

at $33.18/hour ($3,200.00/month)

Bachelors degree

Last Active

June 30th, 2026 (9 days ago)

Member Since

December 3rd, 2022

Profile Description

I build the data infrastructure Amazon sellers and e-commerce brands run on — from raw API pull to live Looker Studio dashboard, fully automated, with zero manual exports.

I'm a Data Automation Expert. My specialty is Amazon seller data (SP-API, Ads API, Brand Analytics), and I extend the same pipelines across Walmart, Instacart, Criteo, and GA4 for multi-channel brands. If your team still stitches CSVs together to answer "how did we do last week?", I replace that with infrastructure that just runs.

What I build:
- Automated ETL — Amazon SP-API + Ads API and multi-channel sources into a clean, scheduled BigQuery warehouse that maintains itself
- Looker Studio dashboards — P&L, PPC (ACOS/TACOS), inventory coverage, Brand Analytics SQP
- Workflow automation (n8n) — alerts, scheduled reports, cross-platform syncs
- AI-augmented reporting — Claude-powered workspaces so your team asks data questions in plain English, no SQL required

Selected work (anonymized):
- DTC kitchen brand — full Amazon P&L + PPC + SQP dashboard; eliminated ~half a day of manual reporting every week
- Global travel brand — one dashboard across 12 NA + EU marketplaces, USD- and VAT-normalized
- Omnichannel beverage brand — Amazon, Walmart, Instacart, Criteo + GA4 + SPINS retail-scan unified into one command center

I own the entire chain — API integration to warehouse to dashboard to automation — so there are no handoffs and no manual steps. Google Data Analytics Certified.

Portfolio + live dashboards: ----------

Top Skills

Marketing » Marketing Analytics » Google Data Studio

Experience: 2 - 5 years

Software » Data Engineering » Bigquery

Experience: 2 - 5 years

Software » Data Engineering » SQL

Experience: 2 - 5 years

Other Skills

E-Commerce » Amazon » Seller Central

Experience: 2 - 5 years

Software » Python

Experience: 2 - 5 years

Marketing » Marketing Analytics » Google Analytics

Experience: 2 - 5 years

Basic Information

Age: 37

Gender: Male

Website: Sign Up with Pro Account to View

Address: Malolos City, Bulacan

Tests Taken: IQ
Score: 116: DISC
Dominance: 54
Influence: 8
Steadiness: 6
Compliance: 32: English
C1(Advanced)

Government ID: Sign Up with Pro Account to View

“Two superstars...took my business into the realm”

Karen McDonald

SEE MORE REAL RESULTS

“The more I stepped away from it, the more successful our Chanel became!”

- Jim Orr

see more real results

BENCHMARKS

Loading Time: Base Classes	0.0007
Controller Execution Time ( Jobseekers / Info )	0.0378
Total Execution Time	0.0392

GET DATA

No GET data exists

MEMORY USAGE

1,633,240 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/2409960

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 29 (0.0240 seconds) (Show)

0.0004	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0012	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '2409960' LIMIT 1
0.0029	SELECT * FROM `jobseeker_meta` WHERE `jobseeker_id` = '2409960'
0.0014	SELECT `j`., `jj`. FROM `jobseekers` `j` INNER JOIN `jobseekers_jobdata` `jj` ON `j`.`jobseeker_id` = `jj`.`jobseeker_id` WHERE `j`.`jobseeker_id` = '2409960'
0.0004	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` IS NULL
0.0005	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '2409960' AND `is_private` = 1
0.0014	`SELECT * FROM employment WHERE jobseeker_id = '2409960' AND hired > -1`
0.0003	`SELECT employers.contact_name, ec.employer_id, ec.jobseekers_id, ec.is_jobseeker_reply, ec.employer_date, ec.employer_comment, ec.lastmodified FROM employers LEFT JOIN employer_comment ec on employers.employer_id = ec.employer_id WHERE ec.jobseekers_id = '2409960' AND employers.deactivate = 0 ORDER BY employer_comment_id DESC`
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0.0004	`SELECT * FROM skill_subcategories ORDER BY subcategory ASC`
0.0004	`SELECT * FROM jobseekers_jobdata WHERE jobseeker_id = 2409960 LIMIT 1`
0.0010	`SELECT * FROM jobseekers_skills WHERE jobseeker_id = 2409960 LIMIT 1`
0.0006	`SELECT * FROM jobseekers j, jobseekers_jobdata jj,jobseekers_skills js WHERE j.jobseeker_id = '2409960' AND j.jobseeker_id = jj.jobseeker_id AND jj.jobseeker_id = js.jobseeker_id`
0.0021	`SELECT *, DATEDIFF('2026-07-09',rebill_date) duration_rebill FROM employers WHERE employer_id = '380710'`
0.0003	`SELECT * FROM employer_comment WHERE employer_id = ''`
0.0011	SELECT `facebook`, `manual_fb_score` FROM `jobseekers_trust` WHERE `jobseeker_id` = '2409960'
0.0027	SELECT * FROM `skills_categories` WHERE `is_approved` = 1 ORDER BY `name`
0.0021	SELECT `jsct`., `jsct`.`id` as `jsct_id`, `sct`. FROM `jobseekers_skills_categories` `jsct` LEFT JOIN `skills_categories` `sct` ON `sct`.`id` = `jsct`.`skill_category_id` WHERE `sct`.`is_approved` = 1 AND `jsct`.`jobseeker_id` = '2409960' ORDER BY `jsct`.`rate` DESC
0.0005	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` = '2409960'
0.0003	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0004	SELECT * FROM `testimonial_videos` WHERE `placement` = 1 OR `placement` = 0 ORDER BY RAND()
0.0005	SELECT * FROM `testimonial_videos` WHERE `placement` = 2 OR `placement` = 0 ORDER BY RAND()
0.0004	`select * from teasers`
0.0004	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0004	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0004	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0004	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0004	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0003	`SELECT * FROM notes WHERE employer_id = '0'`

HTTP HEADERS (Show)

SESSION DATA (Show)

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last_page	https://v1.stage.onlinejobs.ph/jobseekers/info/2409960
csrf-token	0f03a62b48a2145f9266a372e36314b9

CONFIG VARIABLES (Show)

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log_threshold	2
enable_profiler
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uri_protocol	PATH_INFO
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language	english
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enable_query_strings
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function_trigger	m
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log_path
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log_file_permissions	420
log_date_format	Y-m-d H:i:s
error_views_path
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sess_save_path
sess_match_ip
sess_time_to_update	300
sess_regenerate_destroy
cookie_prefix
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cookie_path	/
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cookie_httponly
standardize_newlines
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csrf_token_name	csrf_test_name
csrf_cookie_name	csrf_cookie_name
csrf_expire	7200
csrf_regenerate	1
csrf_exclude_uris	Array ( )
compress_output
time_reference	local
rewrite_short_tags
proxy_ips
ojadmin	JpjZkQN5A8l@^L
salt	+UFjSAT49tPZLtmU2CIG2FYN7pRhgsWyLHgSyQa6k3I=
queue_enabled
twilio	Array ( [sid] => AC00c0594045c6eef9407e8fff01f3d467 [token] => f0bfc0b73444a077894a43f5f75e6d41 [length] => 6 [from] => +639221200200 [code_expiry_seconds] => 14400 )
maintenance	Array ( [admin] => Array ( [verification] => ) [announcement_bar] => Array ( [show_slow_issue_message] => ) )
trustpilot	Array ( [to_email] => onlinejobs.ph+3d844ebf71@invite.trustpilot.com )
services	Array ( [google_tag_manager] => Array ( [id] => GTM-T5CQMS6P ) [chatgpt] => Array ( [secret] => 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 ) [claude] => Array ( [secret] => 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 ) )
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meta	Array ( [facebook] => Array ( [input] => 1 [connect] => 2 [timezone] => 3 [url] => 30 [id] => 31 [photo] => 32 [name] => 33 [email] => 34 [review] => 35 ) [trust] => Array ( [government_id] => 4 [utility_bill] => 5 [selfie_photo] => 6 [profile_picture] => 7 [phone_number] => 8 [facebook] => 9 ) [verify] => Array ( [profile_picture] => 10 [government_id] => 11 [selfie_photo] => 12 [utility_bill] => 13 [address] => 14 [name] => 15 [reviewed] => 16 [government_group] => 28 [address_group] => 29 [mobile] => 38 ) [address] => Array ( [complete] => 17 [room_unit_no] => 20 [house_no] => 21 [street] => 22 [subdivision] => 23 [barangay] => 24 [city] => 25 [province] => 26 [postcode] => 27 ) [reviewed] => Array ( [similar_names] => 1 ) [name] => 18 [phone] => 19 [sms_verification_code] => 36 [resend_verification_code] => 37 [address_read] => 39 [first_name] => 100 [middle_name] => 101 [last_name] => 102 [edit] => Array ( [government_id_group] => 40 [address_group] => 41 [mobile_group] => 42 ) [salary_re_entry] => 103 [id_proof_recalibrate] => 104 [email] => 44 [mobile_verification_type] => 45 )
honeypot	Array ( [name_field] => my_name [enabled] => 1 )

HTTP_ACCEPT	/
HTTP_USER_AGENT	Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
HTTP_CONNECTION	Upgrade
SERVER_PORT	80
SERVER_NAME	v1.stage.onlinejobs.ph
REMOTE_ADDR	127.0.0.1
SERVER_SOFTWARE	Apache/2.4.58 (Ubuntu)
HTTP_ACCEPT_LANGUAGE
SCRIPT_NAME	/index.php
REQUEST_METHOD	GET
HTTP_HOST
REMOTE_HOST
CONTENT_TYPE
SERVER_PROTOCOL	HTTP/1.1
QUERY_STRING
HTTP_ACCEPT_ENCODING	gzip, br, zstd, deflate
HTTP_X_FORWARDED_FOR	216.73.216.11
HTTP_DNT

Arvin

Data Automation Expert | Amazon SP-API, BigQuery & Looker Studio

Overview

Profile Description

Top Skills

Marketing » Marketing Analytics » Google Data Studio

Software » Data Engineering » Bigquery

Software » Data Engineering » SQL

Other Skills

E-Commerce » Amazon » Seller Central

Software » Python

Cloud Services » Google Cloud » Storage and Databases

Office and Administration » Data analysis » Data Visualization

Marketing » Marketing Analytics

Marketing » Marketing Analytics » Google Analytics

Office and Administration » Data Analytics

Software » Data Engineering

Software » API Integration

Office and Administration » AI Tools » AI Automation

Basic Information