Salik Shaikh

Backend Engineer

Mumbai, India6 yrs 11 mos experience

Key Highlights

Expert in cloud-native data solutions across GCP and AWS.
Led successful migrations from legacy systems to modern architectures.
Proven track record in building scalable data pipelines.

Stackforce AI infers this person is a Data Engineering expert in SaaS with strong cloud infrastructure capabilities.

Contact

salik.shaikh@quantiphi.com LinkedIn

Skills

Core Skills

Data EngineeringCloud PlatformsData Analysis

Other Skills

AWS Command Line Interface (CLI)AWS GlueAWS LambdaAWS Step FunctionsAgile MethodologiesAlloyDB for PostgreSQLAmazon Elastic MapReduce (EMR)Amazon S3Amazon Web Services (AWS)Analytical SkillsAnalyticsApache AirflowApache SparkAutomationAutomation Workflow

About

Google Professional Certified Senior Data Engineer with 6+ years of expertise in designing and delivering scalable, cloud-native data solutions. Strong background in ETL/ELT pipeline development, legacy system modernization, and cloud migrations across GCP and AWS ecosystems. Core competencies include: Cloud Platforms: Google Cloud Platform (BigQuery, Cloud SQL, Cloud Storage, Cloud Functions, Dataflow, Composer), AWS (EMR, Glue, Lambda, Step Functions, DynamoDB, EventBridge, Athena, S3) Data Engineering & Pipelines: ETL/ELT, Apache Airflow (Cloud Composer), PySpark, Spark (Scala), SQL, Python DevOps & CI/CD: Git, GitLab, GitHub, BitBucket, Docker, Kubernetes, Bazel, Maven, Terraform Monitoring & Observability: Prometheus, Grafana, CloudWatch Database Technologies: DB2, SQL Server, MySQL, PostgreSQL → GCP BigQuery & Cloud SQL Architecture & Design: Medallion Architecture, OLTP to OLAP modeling, RESTful APIs, sequence/architecture diagrams Testing & Quality: PyTest, JUnit, automated testing frameworks Leadership: Led cross-functional teams, mentored junior engineers, aligned technical execution with business strategy

Experience

6 yrs 11 mos

Total Experience

2 yrs 5 mos

Average Tenure

2 yrs

Current Experience

Quantiphi

Senior Data Engineer

Jun 2024 – Present · 2 yrs · Mumbai, Maharashtra, India · Hybrid

Customer Experience - QatarAirways
Led the design and implementation of a scalable Customer Experience analytics platform focused on analyzing customer survey responses and interaction data to derive actionable insights. The project enabled business stakeholders to measure customer satisfaction, identify pain points across the customer journey, and improve service quality through data-driven decision-making.
Mainframe to GCP Migration
Designed and implemented efficient data ingestion pipelines; led end-to-end migration from legacy mainframe systems (COBOL, DB2) to GCP BigQuery SQL.
Re-architected data models by transitioning from normalized OLTP schemas to a scalable OLAP design for analytics workloads.
AWS Lambda to GCP Airflow Migration
Migrated a suite of Java-based and Spark (Scala) data processing jobs from AWS Lambda to GCP Cloud Composer (Airflow).
Rebuilt the codebase from Maven to Bazel for consistent, high-performance CI/CD pipelines.
Implemented observability solutions using Prometheus and Grafana to monitor system performance and reliability.
Experienced with Docker and container orchestration tools like Kubernetes.
Experienced in setting up and using automated testing tools and frameworks, such as PyTest, or JUnit.
Database Modernization on GCP
Modernized legacy SQL Server 2000/2005, postgreSQL and MySQL databases by migrating to GCP Cloud SQL.
Designed ingestion and transformation pipelines using Dataflow, Cloud Functions, Cloud Storage, DMS and STRIIM.
Ability to create and maintain detailed sequence diagrams and architectural documentation.

ETL/ELTGCP BigQueryData ModelingApache AirflowPythonDocker+5

Go digital technology consulting llp

2 roles

Senior Data Engineer

Nov 2023 – Jun 2024 · 7 mos

Engaged in execution of ETL pipeline and validate the generated output.
Activity involved collaboration with an onshore developer to identify potential improvements within the process and come up with desired solutions.
Leveraged collaborative efforts with peers to navigate strategic problem-solving pathways.

ETL pipelineCollaborationProblem SolvingData Engineering

Data Engineer

Sep 2021 – Oct 2023 · 2 yrs 1 mo

Designed and built an automation workflow that enabled the efficient running of downstream jobs on both ad-hoc and scheduled bases. Managed job statuses and monitored job progress.
Designed and implemented an event-based utility script that optimized the validation of data count between on-premise and AWS migrated data, minimizing the need for manual intervention and significantly enhancing data accuracy by rapidly detecting and resolving discrepancies.
hands-on experience with AWS Airflow and writing DAGs.
Developed python script to track monthly costs for AWS Services utilization allowed business teams to estimate costs and adjust budgets accordingly.
The creation of an enterprise big data analytical solution that recovers 19 million CMIs (Customers Minute Interrupted) led to a month's worth of savings in the millions of dollars.
Using event-based triggers, automated ETL operations across numerous data sources and millions of rows have reduced processing times and improved data accuracy.
Built from the ground up, led a team of two full-time employees, and routinely worked with a project manager, a business owner, and a data scientist.
Utilizing Spark Flow ETL pipelines, migrations from Hive to SQL Server and vice versa were carried out, increasing everyday user engagement.

Automation WorkflowEvent-based Utility ScriptPythonSpark Flow ETLData Engineering

Technocolabs softwares

Data Science Intern

Jul 2021 – Aug 2021 · 1 mo · Indore, Madhya Pradesh, India

Data Science Internship
Project :- Prediction of Billboard Hot 100 hit using Spotify data

Course5i

Data Analyst

Jun 2019 – Sep 2021 · 2 yrs 3 mos · Thane, Maharashtra, India

Experience with IBM SPSS statistics software for data tracking and analysis helped create data check logic which decreased data discrepancies.
According to the needs of the customer, grid tables and banners are developed using the Wincross tool. This insight into the data allowed for the best business decisions to be made on a project, which reduced the amount of manual effort required in Excel.
Out of 12 completed projects, 10 separate projects were well received by the clients.

IBM SPSSData AnalysisWincross