Bhargavi Mekala

Data Engineer

Hyderabad, Telangana, India4 yrs 6 mos experience

Key Highlights

Expert in designing scalable data pipelines.
Proficient in AWS cloud data engineering.
Skilled in data orchestration using Airflow.

Stackforce AI infers this person is a Data Engineering expert with strong AWS and data pipeline development skills.

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Skills

Core Skills

Data Pipeline DevelopmentAwsAirflowPalantir FoundryWorkflow Orchestration

Other Skills

Amazon Web Services (AWS)Apache AirflowData EngineeringData PipelinesDatabricksEC2EMRLambdaPalantirPostgreSQLPySparkPysparkPython (Programming Language)RedshiftS3

About

Data Engineer with 4 years of experience designing and developing scalable data pipelines using Python, Spark, and big data technologies. Proficient in SQL, cloud data engineering (AWS), and data orchestration (Airflow). Skilled in: Languages: Python, SQL, Shell Scripting Databases: Postgres, Snowflake Big Data: Hadoop, PySpark, Databricks Cloud: AWS (S3, EC2, EMR, SQS, SNS, Lambda) Orchestration: Airflow Other Technologies: Jenkins, Git, Palantir

Experience

Msd

Specialist Data Engineer

Sep 2025 – Present · 6 mos · Hyderabad, Telangana, India · Hybrid

Advance auto parts india

Associate Data Engineer

Oct 2023 – Aug 2025 · 1 yr 10 mos · Hyderabad, Telangana, India · Hybrid

Roles and Responsibilities:
1) Tech stack: AWS Airflow, S3, EMR, EC2, Lambda, Snowflake, Databricks, Pyspark, PostgreSQL, Palantir Foundry
2) Data Pipeline Development: Designed and implemented scalable data pipelines to ingest, transform, and load data from multiple sources into Snowflake and S3, handling datasets up to 1 TB.
3) Airflow Orchestration: Developed and maintained Airflow DAGs for automating workflows across various modules, ensuring seamless integration with other tools like Databricks, Talend and EMR.
4) AWS Services Integration: Worked extensively with AWS services (S3, EMR, EC2, Lambda, SNS, Airflow) to support data orchestration, storage, and processing.
5) Palantir Foundry Integration: Worked in integrating Palantir Foundry for visualization and user-driven decision-making, enabling insights into sales, forecasts, and adjustments.
6) Issue Resolution: Troubleshot and resolved connectivity issues between Airflow and other components, ensuring system reliability and performance.
7) Collaboration: Coordinated with cross-functional teams, including data scientists and business analysts, to ensure data readiness for model training and scoring.

AWSAirflowS3EMREC2Lambda+6

Systech solutions, inc

Associate Data Engineer

Jul 2021 – Sep 2023 · 2 yrs 2 mos · Chennai, Tamil Nadu, India · On-site

Roles and Responsibilities:
1) Tech Stack: AWS S3, Redshift, Lambda, Apache Airflow, Databricks, Pyspark
2) Data Analysis and Optimization: Analyzed the data and created generic logics to reduce redundancy in data. Translated business propositions into quantitative queries to collect and clean the necessary data.
3) Data Pipeline Development: Successfully established a continuous data load mechanism using Snowpipe, ensuring real-time data ingestion and reducing latency for timely insights. Created various tasks based on business requirements for the ETL load. Developed purposeful views based on business needs.
4) Workflow Orchestration: Proficiently managed DAGs, both new and existing, leveraging Apache Airflow to optimize workflow orchestration. Created PySpark functions aligned with business requirements, increasing ETL efficiency and data processing.
5) Documentation and Testing: Documented test cases, execution procedures, data dependencies, and expected results required to satisfy test design scenarios.

AWSS3RedshiftLambdaApache AirflowDatabricks+3