Mc

Data Engineer

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Overview

Looking for part-time work (6 hours/day)

at $13.45/hour ($1,920.00/month)

Bachelors degree

Last Active

April 27th, 2026 (5 days ago)

Member Since

February 24th, 2025

Profile Description

I am a Data Engineer with Over 5 years strong experience in building robust and scalable data solutions. I specialize in ETL pipeline development, data validation, and data warehouse management. I have worked extensively with large datasets, ensuring data quality, consistency, and performance optimization.
My responsibilities typically include:

-Designing and developing ETL workflows
Validating and reconciling data between source and target systems
-Optimizing SQL queries for performance and scalability
-Supporting data migration and data integration projects
-Troubleshooting data issues and ensuring data integrity

Top Skills

Software » Data Engineering » SQL

Experience: 2 - 5 years

Over 5 years of experience using SQL to develop stored procedures and views for batch and large scale data loading. Specialized in query optimization and script tuning to improve performance, ensure data quality, and support efficient data processing workflows.

Cloud Services » AWS » Database - Redshift

Experience: 1 - 2 years

I have been working with AWS Redshift for over a year

Cloud Services » Azure

Experience: 2 - 5 years

Using Azure Databricks for over 3 years to design and implement scalable data pipelines, perform data transformations, and optimize processing performance. Experienced in building ETL/ELT workflows, integrating with cloud platforms, and ensuring data quality and reliability across large datasets.

Cloud Services » Snowflake

Experience: 1 - 2 years

Worked with large scale datasets in Snowflake, designing and optimizing data pipelines for efficient processing. Developed and maintained stored procedures (SP) and views to support scalable data transformations and reporting. Focused on improving load performance, ensuring data quality, and enabling faster query execution for analytics.

Other Skills

Web Programming » Python

Experience: 2 - 5 years

Using PySpark (Python) for over 2 years to develop and optimize Databricks notebooks, enabling efficient parallel data processing and large-scale data integration. Experienced in transforming big data, improving job performance, and building scalable data pipelines.

Software » Databases » MySQL

Experience: 2 - 5 years

I have been working with my SQL for more than 5 years

Software » Databases » SQL Server

Experience: 2 - 5 years

Using SQL Server for over 3 years to manage and maintain databases, develop complex queries, and optimize performance. Experienced in creating views, stored procedures, and functions, as well as ensuring data integrity, security, and efficient data processing.

Cloud Services » AWS

Experience: Less than 6 months

Using AWS for over 2 years to design and manage cloud-based solutions, build scalable data pipelines, and integrate services such as S3, Lambda, and Glue. Experienced in optimizing performance, ensuring data security, and supporting reliable, high availability architectures.

Cloud Services » AWS » Stotage - S3

Experience: 1 - 2 years

I have been working with AWS S3 for more than 2 years now

Cloud Services » Azure » Analytics - Data Factory

Experience: 2 - 5 years

Built and managed Azure datafactory pipelines to automate the loading of large volumes of data on scheduled intervals. Designed scalable workflows to handle full and incremental loads efficiently, ensuring reliability and performance. Monitored pipeline runs, handled failures, and optimized processes for consistent and timely data delivery.

Cloud Services » Azure » Analytics - Data Lake Analytics

Experience: 2 - 5 years

Worked with Azure Data Lake Analytics to ingest and land data from multiple source systems into the data lake. Designed efficient data ingestion processes to handle large volumes, ensuring data integrity and availability for downstream processing and analytics.

Cloud Services » Azure » DevOps - Azure Monitor

Experience: 2 - 5 years

Managed Azure DevOps pipelines for deploying scripts and changes across Dev, QA, and Production environments. Ensured smooth CI/CD processes with proper version control, validation, and release management. Coordinated deployments to maintain consistency, minimize errors, and support reliable data operations.

Cloud Services » AWS » AWS Lambda

Experience: 1 - 2 years

Using AWS Lambda for over 2 years to build and deploy serverless applications, automate data workflows, and integrate cloud services. Experienced in developing event driven functions, optimizing performance and cost, and ensuring reliable and scalable execution.

Basic Information

Age: 33

Gender: Male

Website: Sign Up with Pro Account to View

Address: San Pablo, Laguna

Tests Taken: None

Government ID: Sign Up with Pro Account to View

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BENCHMARKS

Loading Time: Base Classes	0.0007
Controller Execution Time ( Jobseekers / Info )	0.0300
Total Execution Time	0.0313

GET DATA

No GET data exists

MEMORY USAGE

1,613,184 bytes

POST DATA

No POST data exists

URI STRING

jobseekers/info/4015478

CLASS/METHOD

jobseekers/info

DATABASE: onlinejobs (Jobseekers:$db) QUERIES: 29 (0.0169 seconds) (Show)

0.0004	`SELECT * FROM exrates WHERE rate_name = 'USD-PHP'`
0.0010	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '4015478' LIMIT 1
0.0022	SELECT * FROM `jobseeker_meta` WHERE `jobseeker_id` = '4015478'
0.0010	SELECT `j`., `jj`. FROM `jobseekers` `j` INNER JOIN `jobseekers_jobdata` `jj` ON `j`.`jobseeker_id` = `jj`.`jobseeker_id` WHERE `j`.`jobseeker_id` = '4015478'
0.0004	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` IS NULL
0.0003	SELECT * FROM `jobseekers` WHERE `jobseeker_id` = '4015478' AND `is_private` = 1
0.0008	`SELECT * FROM employment WHERE jobseeker_id = '4015478' 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 = '4015478' AND employers.deactivate = 0 ORDER BY employer_comment_id DESC`
0.0003	`SELECT * FROM skill_categories ORDER BY cat_order ASC`
0.0004	`SELECT * FROM skill_subcategories ORDER BY subcategory ASC`
0.0002	`SELECT * FROM jobseekers_jobdata WHERE jobseeker_id = 4015478 LIMIT 1`
0.0005	`SELECT * FROM jobseekers_skills WHERE jobseeker_id = 4015478 LIMIT 1`
0.0007	`SELECT * FROM jobseekers j, jobseekers_jobdata jj,jobseekers_skills js WHERE j.jobseeker_id = '4015478' AND j.jobseeker_id = jj.jobseeker_id AND jj.jobseeker_id = js.jobseeker_id`
0.0003	`SELECT *, DATEDIFF('2026-05-02',rebill_date) duration_rebill FROM employers WHERE employer_id = ''`
0.0002	`SELECT * FROM employer_comment WHERE employer_id = ''`
0.0002	SELECT `facebook`, `manual_fb_score` FROM `jobseekers_trust` WHERE `jobseeker_id` = '4015478'
0.0027	SELECT * FROM `skills_categories` WHERE `is_approved` = 1 ORDER BY `name`
0.0022	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` = '4015478' ORDER BY `jsct`.`rate` DESC
0.0003	SELECT * FROM `jobseekers_trust` WHERE `jobseeker_id` = '4015478'
0.0004	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0003	SELECT * FROM `testimonial_videos` WHERE `placement` = 1 OR `placement` = 0 ORDER BY RAND()
0.0004	SELECT * FROM `testimonial_videos` WHERE `placement` = 2 OR `placement` = 0 ORDER BY RAND()
0.0002	`select * from teasers`
0.0002	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 = ''`
0.0002	SELECT * FROM `employers` WHERE `employer_id` IS NULL LIMIT 1
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0002	`SELECT user_level, rebill_date, jobseekers_seen, jobseekers_seen_override from employers WHERE employer_id = ''`
0.0002	`SELECT * FROM notes WHERE employer_id = '0'`

HTTP HEADERS (Show)

SESSION DATA (Show)

__ci_last_regenerate	1777686619
last_page	https://v1.stage.onlinejobs.ph/jobseekers/info/4015478
csrf-token	7715370ed846775f70f6839b94fc419b

CONFIG VARIABLES (Show)

base_url	https://v1.stage.onlinejobs.ph
log_threshold	2
enable_profiler
index_page
uri_protocol	PATH_INFO
url_suffix
language	english
charset	UTF-8
enable_hooks	1
subclass_prefix	MY_
composer_autoload	vendor/autoload.php
permitted_uri_chars	a-z 0-9~%.:_\=\-\+\@?\&
enable_query_strings
controller_trigger	c
function_trigger	m
directory_trigger	d
allow_get_array	1
log_path
log_file_extension
log_file_permissions	420
log_date_format	Y-m-d H:i:s
error_views_path
cache_path
cache_query_string
encryption_key	OdBUArjiWg9I7u7bvAwQ7Fu35VB1kzga
sess_driver	files
sess_cookie_name	ci_session
sess_expiration	2678400
sess_save_path
sess_match_ip
sess_time_to_update	300
sess_regenerate_destroy
cookie_prefix
cookie_domain
cookie_path	/
cookie_secure
cookie_httponly
standardize_newlines
global_xss_filtering	1
csrf_protection
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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 ) )
v2_url	https://v2.stage.app.onlinejobs.ph
replacemyself_secret_key	Kk1WpgTMkc4wBQOqC5rqCssdLhACKrsJeTtO1ywUkT4=
app	Array ( [app] => Array ( [command] => Array ( [map] => Array ( [OnlineJobs\Mailer\Command\SendEmailCommand] => OnlineJobs\Mailer\Handler\SendEmailHandler [OnlineJobs\Mail\Command\SendEmailCommand] => OnlineJobs\Mail\Handler\SendEmailHandler [OnlineJobs\Mail\Command\QueueEmailPendingCommand] => OnlineJobs\Mail\Handler\QueueEmailPendingHandler [OnlineJobs\Mail\Command\QueueJobEmailPendingCommand] => OnlineJobs\Mail\Handler\QueueJobEmailPendingHandler [OnlineJobs\Mail\Command\QueueUnapprovedEmailCommand] => OnlineJobs\Mail\Handler\QueueUnapprovedEmailHandler [OnlineJobs\Mail\Command\ProcessEmailQueueCommand] => OnlineJobs\Mail\Handler\ProcessEmailQueueHandler [OnlineJobs\Mail\Command\PutJobseekerEmailOnHoldCommand] => OnlineJobs\Mail\Handler\PutJobseekerEmailOnHoldHandler [OnlineJobs\Purchase\Command\RealEstateVaCourseCommand] => OnlineJobs\Purchase\Handler\RealEstateVaCourseHandler [OnlineJobs\Test\Command\HelloCommand] => OnlineJobs\Test\Handler\HelloHandler ) [middleware] => Array ( ) ) [providers] => Array ( [0] => OnlineJobs\Bus\BusServiceProvider [1] => OnlineJobs\Database\DbServiceProvider [2] => OnlineJobs\Mailer\MailerServiceProvider [3] => OnlineJobs\Support\SupportServiceProvider [4] => OnlineJobs\Employer\ServiceProvider [5] => OnlineJobs\Jobseeker\ServiceProvider [6] => OnlineJobs\Mail\ServiceProvider [7] => OnlineJobs\Postal\ServiceProvider [8] => OnlineJobs\Queue\ServiceProvider [9] => OnlineJobs\Courier\ServiceProvider [10] => OnlineJobs\Job\ServiceProvider [11] => OnlineJobs\Purchase\ServiceProvider ) ) )
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	216.73.217.75
HTTP_DNT